Journal articles on the topic 'Growing Robots'
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Lee, Mingu, Jiyong Kim, Hyunsu Jeong, Azure Pham, Changhyeon Lee, Pilwoo Lee, Thiha Soe, Seong-Woo Kim, and Juhyun Eune. "Communication with Self-Growing Character to Develop Physically Growing Robot Toy Agent." Applied Sciences 10, no. 3 (January 31, 2020): 923. http://dx.doi.org/10.3390/app10030923.
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Robots for communication are developed extensively with an emphasis on sympathy. This study deals with the growth of character and the control of its operation. The child has time to be alone with the nature of his/her robot friend. That child can interact with other people’s emotional expressions through a robot. Step by step, the robot character will grow as the child grows. Through design studies, qualitative processes such as customer experience audit, eye tracking, mental model diagrams, and semantic differences have been executed for the results. The participatory behavior research approach through user travel is mapped from the user’s lead to the evidence-based design. This research considers how synthetic characteristics can be applied to the physical growth of robot toys through the product design process. With the development of robot toy “Buddy”, two variations on the robot were made to achieve recognizable growth. (1) one-dimensional height scaling and (2) facial expression including the distance between two eyes on the screen. Observations represented children’s reactions when "Buddy" was released with the children. As an independent synthetic character, the robot was recognized by children who had the designed function. Robots for training may require more experimentation.
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Rieffel, John, Davis Knox, Schuyler Smith, and Barry Trimmer. "Growing and Evolving Soft Robots." Artificial Life 20, no. 1 (January 2014): 143–62. http://dx.doi.org/10.1162/artl_a_00101.
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Completely soft and flexible robots offer to revolutionize fields ranging from search and rescue to endoscopic surgery. One of the outstanding challenges in this burgeoning field is the chicken-and-egg problem of body-brain design: Development of locomotion requires the preexistence of a locomotion-capable body, and development of a location-capable body requires the preexistence of a locomotive gait. This problem is compounded by the high degree of coupling between the material properties of a soft body (such as stiffness or damping coefficients) and the effectiveness of a gait. This article synthesizes four years of research into soft robotics, in particular describing three approaches to the co-discovery of soft robot morphology and control. In the first, muscle placement and firing patterns are coevolved for a fixed body shape with fixed material properties. In the second, the material properties of a simulated soft body coevolve alongside locomotive gaits, with body shape and muscle placement fixed. In the third, a developmental encoding is used to scalably grow elaborate soft body shapes from a small seed structure. Considerations of the simulation time and the challenges of physically implementing soft robots in the real world are discussed.
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Sakakibara, Shinsuke. "On Growing Industrial Robots." Journal of the Robotics Society of Japan 25, no. 1 (2007): 37–41. http://dx.doi.org/10.7210/jrsj.25.37.
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Trinh, Minh-Chien, Trong-Hieu Do, and Quy-Thinh Dao. "DEVELOPMENT OF A REHABILITATION ROBOT: MODELING AND TRAJECTORY TRACKING CONTROL." ASEAN Engineering Journal 12, no. 4 (November 29, 2022): 121–29. http://dx.doi.org/10.11113/aej.v12.17196.
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Recently, assistive robots have attracted great attention from researchers in the rehabilitation field. These types of robots support patients to perform designated movements during a training process. Despite the existence of commercial rehabilitation systems, growing demands for improvement in both hardware and control design are evident. Therefore, this paper introduces a prototype pneumatic artificial muscle-based assistive robot named BK-Gait and its control strategy for trajectory tracking purposes. Firstly, a brief description of the robot mechanism is presented. Secondly, the mathematical model of the robot’s actuator is built. Third, an active disturbance rejection control (ADRC) strategy is developed to enhance the tracking performance of the robot. Finally, multi scenarios experiments are carried out to evaluate the applicability of the robot and the proposed controller in the rehabilitation field.
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Matsuda, Keishi. "Improvement of Production Index for Cell Production by Mobile Robots." Applied Mechanics and Materials 470 (December 2013): 644–49. http://dx.doi.org/10.4028/www.scientific.net/amm.470.644.
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These days, research of multiple robots, which has distributed function and maximize their total ability have been frequently observed in the field of rescue robots or soccer robots tournament called ROBOCUP[- [. This shows the rapidly growing need of more sophisticated multiple robots which are more dependable compared to function-integrated single robot.
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Doursat, René, and Carlos Sánchez. "Growing Fine-Grained Multicellular Robots." Soft Robotics 1, no. 2 (June 2014): 110–21. http://dx.doi.org/10.1089/soro.2014.0014.
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Mansouri, Nazanin, and Khaled Goher. "Towards Ethical Framework for Personal Care Robots: Review and Reflection." Asian Social Science 12, no. 10 (September 19, 2016): 152. http://dx.doi.org/10.5539/ass.v12n10p152.
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<p>In recent decades, robots have been used noticeably at various industries. Autonomous robots have been embedded in human lives especially in elderly and disabled lives. Elderly population is growing worldwide significantly; therefore there is an increased need of personal care robots to enhance mobility and to promote independence. A great number of aging and disabled hold appeals for using robots in daily routine tasks as well as for various healthcare matters. It is essential to follow a proper framework in ethics of robot design to fulfill individual needs, whilst considering potential harmful effects of robots. This paper primarily focuses on the existing issues in robot ethics including general ethics theories and ethics frameworks for robots. Consequentialism ethics will be recommended to be applied in robot ethics frameworks.</p>
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Kim, Yoonho, German A. Parada, Shengduo Liu, and Xuanhe Zhao. "Ferromagnetic soft continuum robots." Science Robotics 4, no. 33 (August 28, 2019): eaax7329. http://dx.doi.org/10.1126/scirobotics.aax7329.
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Small-scale soft continuum robots capable of active steering and navigation in a remotely controllable manner hold great promise in diverse areas, particularly in medical applications. Existing continuum robots, however, are often limited to millimeter or centimeter scales due to miniaturization challenges inherent in conventional actuation mechanisms, such as pulling mechanical wires, inflating pneumatic or hydraulic chambers, or embedding rigid magnets for manipulation. In addition, the friction experienced by the continuum robots during navigation poses another challenge for their applications. Here, we present a submillimeter-scale, self-lubricating soft continuum robot with omnidirectional steering and navigating capabilities based on magnetic actuation, which are enabled by programming ferromagnetic domains in its soft body while growing hydrogel skin on its surface. The robot’s body, composed of a homogeneous continuum of a soft polymer matrix with uniformly dispersed ferromagnetic microparticles, can be miniaturized below a few hundreds of micrometers in diameter, and the hydrogel skin reduces the friction by more than 10 times. We demonstrate the capability of navigating through complex and constrained environments, such as a tortuous cerebrovascular phantom with multiple aneurysms. We further demonstrate additional functionalities, such as steerable laser delivery through a functional core incorporated in the robot’s body. Given their compact, self-contained actuation and intuitive manipulation, our ferromagnetic soft continuum robots may open avenues to minimally invasive robotic surgery for previously inaccessible lesions, thereby addressing challenges and unmet needs in healthcare.
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Bogue, Robert. "The role of robots in the battlefields of the future." Industrial Robot: An International Journal 43, no. 4 (June 20, 2016): 354–59. http://dx.doi.org/10.1108/ir-03-2016-0104.
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Purpose This paper aims to provide an overview of robots presently in use by the military and an insight into some that are under development. Design/methodology/approach Following a short introduction, this paper first considers existing applications of robots in the military field, including details of Russian weaponised ground robots. It then highlights a range of military robot developments and concludes with a brief discussion. Findings Drones (unmanned aerial vehicles) and small unmanned ground vehicles (UGVs) are among the most widely used robots by the military. Russia is developing a growing armoury of heavily weaponised UGVs, some of which were recently deployed in Syria. Some topics of development include humanoid robots, powered exoskeletons, load-carrying robots, micro-air vehicles and autonomous land vehicles. Robots will play an ever-growing role in military actions, and while some developments offer longer-term prospects, others are expected to be deployed in the near future. Originality/value Robots are playing an increasingly important role in military conflicts, and this provides details of present-day and anticipated future uses of robots by the military.
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Benton, Rachel A., Anne Collins McLaughlin, and Ericka M. Rovira. "Perception of Robot Power: Scale Development." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 295–99. http://dx.doi.org/10.1177/1071181322661244.
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Robots are increasingly utilized to work with humans in collaborative tasks. While there is a growing body of research investigating individual measures that impact human-robot interaction (HRI), to our knowledge, no measure exists to quantify an individual's perception of robot power. How powerful one perceives robots could be a driving factor in an individual's attitudes toward robots and their trust in HRI. This study aims to develop and validate a scale to quantify peoples' general perception of the power of robots. Preliminary results from exploratory factor analyses with nearly 60% of planned participants revealed three potential factors: companion/task robots, social coworking robots, and domineering robots. Future work will examine whether and how the scale predicts behavior to continue to refine the scale and isolate its measurement.
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Stamboliev, Eugenia. "On Care Robots and the Ethics of Tracking." Információs Társadalom 20, no. 2 (October 20, 2020): 101. http://dx.doi.org/10.22503/inftars.xx.2020.2.7.
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This paper establishes a transdisciplinary exploration of care robots and their tracking capacity as an ethical performance. It does this to highlight the concerns around the ubiquity and availability of data in care contexts. In my attempt to scrutinise care robots beyond being humanoid and sociable actors, but instead as data tracking technologies, I link robot ethics, media and surveillance studies with posthuman and performative ethics to redefine tracking as an ethical microcosm within care robots. I do this, first, by challenging how to look at care robots and robot interactivity, particularly in reference to tracking as an ethical, not necessarily moral, question of interactivity and relationality. This angle will challenge the ethical timing and evaluation around tracking as an inherently ethical relation. Second, by arguing that the common ethical views on tracking are about concerns of privacy intrusion and data infringement while overlooking that a main ethical issue might not be a robotic intention to spy but the availability of data because of robots. Consequently, what deserves more attention in the ethics of robots is the growing ubiquity of care robots, the sensitivity of care contexts, and the acknowledgement of data appropriation; the latter being especially important considering the vulnerability of health care environments, and the growing commercial value of health data.
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Greer, Joseph D., Laura H. Blumenschein, Ron Alterovitz, Elliot W. Hawkes, and Allison M. Okamura. "Robust navigation of a soft growing robot by exploiting contact with the environment." International Journal of Robotics Research 39, no. 14 (March 20, 2020): 1724–38. http://dx.doi.org/10.1177/0278364920903774.
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Navigation and motion control of a robot to a destination are tasks that have historically been performed with the assumption that contact with the environment is harmful. This makes sense for rigid-bodied robots, where obstacle collisions are fundamentally dangerous. However, because many soft robots have bodies that are low-inertia and compliant, obstacle contact is inherently safe. As a result, constraining paths of the robot to not interact with the environment is not necessary and may be limiting. In this article, we mathematically formalize interactions of a soft growing robot with a planar environment in an empirical kinematic model. Using this interaction model, we develop a method to plan paths for the robot to a destination. Rather than avoiding contact with the environment, the planner exploits obstacle contact when beneficial for navigation. We find that a planner that takes into account and capitalizes on environmental contact produces paths that are more robust to uncertainty than a planner that avoids all obstacle contact.
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Sánchez-Rojas, José Armando, José Aníbal Arias-Aguilar, Hiroshi Takemura, and Alberto Elías Petrilli-Barceló. "Staircase Detection, Characterization and Approach Pipeline for Search and Rescue Robots." Applied Sciences 11, no. 22 (November 14, 2021): 10736. http://dx.doi.org/10.3390/app112210736.
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Currently, most rescue robots are mainly teleoperated and integrate some level of autonomy to reduce the operator’s workload, allowing them to focus on the primary mission tasks. One of the main causes of mission failure are human errors and increasing the robot’s autonomy can increase the probability of success. For this reason, in this work, a stair detection and characterization pipeline is presented. The pipeline is tested on a differential drive robot using the ROS middleware, YOLOv4-tiny and a region growing based clustering algorithm. The pipeline’s staircase detector was implemented using the Neural Compute Engines (NCEs) of the OpenCV AI Kit with Depth (OAK-D) RGB-D camera, which allowed the implementation using the robot’s computer without a GPU and, thus, could be implemented in similar robots to increase autonomy. Furthermore, by using this pipeline we were able to implement a Fuzzy controller that allows the robot to align itself, autonomously, with the staircase. Our work can be used in different robots running the ROS middleware and can increase autonomy, allowing the operator to focus on the primary mission tasks. Furthermore, due to the design of the pipeline, it can be used with different types of RGB-D cameras, including those that generate noisy point clouds from low disparity depth images.
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Yao, Ligang, Hao Yu, and Zongxing Lu. "Design and driving model for the quadruped robot: An elucidating draft." Advances in Mechanical Engineering 13, no. 4 (April 2021): 168781402110090. http://dx.doi.org/10.1177/16878140211009035.
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Recent developments in driving mode have heightened the need for quadruped robots. However, it is still a challenge to improve the dynamic characteristics. This paper makes a comprehensive review of the quadruped robot driving mode, from two aspects: hydraulic drive and motor drive. The application of hydraulic drives in quadruped robots is relatively mature. As motor performance is improving, interest in motor driving mode for quadruped robots is growing rapidly. Specific quadruped robots of milestone significance are presented in different driving modes. The performance in load capacity and motion characteristics, in different driving modes, are compared. Finally, the research difficulties in the field of quadruped robots are analyzed, while future development of the quadruped robot shows high prospects. The purpose of this paper is to summarize and analyze the previous research results and provide useful guidance for robot designers in developing more efficient driving modes for quadruped robots.
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Lee, In. "Service Robots: A Systematic Literature Review." Electronics 10, no. 21 (October 30, 2021): 2658. http://dx.doi.org/10.3390/electronics10212658.
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A service robot performs various professional services and domestic/personal services useful for organizations and humans in many application domains. Currently, the service robot industry is growing rapidly along with the technological advances of the Fourth Industrial Revolution. In light of the great interest and potential of service robots, this study conducts a systematic review of the past and current research in service robots. This study examines the development activities for service robots across applications and industries and categorizes the service robots into four types. The categorization provides us with insights into the unique research activities and practices in each category of service robots. Then, this study analyzes the technological foundation that applies to all four categories of service robots. Finally, this study discusses opportunities and challenges that are understudied but potentially important for the future research of service robots.
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Rosenberg, Maor, Hae Won Park, Rinat Rosenberg-Kima, Safinah Ali, Anastasia K. Ostrowski, Cynthia Breazeal, and Goren Gordon. "Expressive Cognitive Architecture for a Curious Social Robot." ACM Transactions on Interactive Intelligent Systems 11, no. 2 (July 19, 2021): 1–25. http://dx.doi.org/10.1145/3451531.
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Artificial curiosity, based on developmental psychology concepts wherein an agent attempts to maximize its learning progress, has gained much attention in recent years. Similarly, social robots are slowly integrating into our daily lives, in schools, factories, and in our homes. In this contribution, we integrate recent advances in artificial curiosity and social robots into a single expressive cognitive architecture. It is composed of artificial curiosity and social expressivity modules and their unique link, i.e., the robot verbally and non-verbally communicates its internally estimated learning progress, or learnability, to its human companion. We implemented this architecture in an interaction where a fully autonomous robot took turns with a child trying to select and solve tangram puzzles on a tablet. During the curious robot’s turn, it selected its estimated most learnable tangram to play, communicated its selection to the child, and then attempted at solving it. We validated the implemented architecture and showed that the robot learned, estimated its learnability, and improved when its selection was based on its learnability estimation. Moreover, we ran a comparison study between curious and non-curious robots, and showed that the robot’s curiosity-based behavior influenced the child’s selections. Based on the artificial curiosity module of the robot, we have formulated an equation that estimates each child’s moment-by-moment curiosity based on their selections. This analysis revealed an overall significant decrease in estimated curiosity during the interaction. However, this drop in estimated curiosity was significantly larger with the non-curious robot, compared to the curious one. These results suggest that the new architecture is a promising new approach to integrate state-of-the-art curiosity-based algorithms to the growing field of social robots.
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Feingold-Polak, Ronit, Avital Elishay, Yonat Shahar, Maayan Stein, Yael Edan, and Shelly Levy-Tzedek. "Differences between young and old users when interacting with a humanoid robot: a qualitative usability study." Paladyn, Journal of Behavioral Robotics 9, no. 1 (July 1, 2018): 183–92. http://dx.doi.org/10.1515/pjbr-2018-0013.
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Abstract With the aging of the population worldwide, humanoid robots are being used with an older population, e.g., stroke patients and people with dementia. There is a growing body of knowledge on how people interact with robots, but limited information on the difference between young and old adults in their preferences when interacting with humanoid robots and what factors influence these preferences.We developed a gamified robotic platform of a cognitive-motor task.We conducted two experiments with the following aims: to test how age, location of touch interaction (touching the robot’s tablet or hand), and embodied presence of a humanoid robot affect the motivation of different age-group users to continue performing a cognitive-motor task. A total of 60 participants (30 old adults and 30 young adults) took part in two experiments with the humanoid Pepper robot (Softbank robotics). Both old and young adults reported they enjoyed the interaction with the robot as they found it engaging and fun, and preferred the embodied robot over the non-embodied computer screen. This study highlights that in order for the experience of the user to be positive a personalization of the interaction according to the age, the needs of the user, the characteristics, and the pace of the task is needed.
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Crangle, Colleen. "Conversational interfaces to robots." Robotica 15, no. 1 (January 1997): 117–27. http://dx.doi.org/10.1017/s0263574797000143.
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There is growing interest in robots that are designed specifically to interact with people and which respond to voice commands. Very little attention has been paid, however, to the kind of verbal interaction that is possible or desirable with robots. This paper presents recent work in multimodal interfaces that addresses this question. It proposes a new form of robot-user interface, namely a collaborative conversational interface. This article explains what collaborative conversational interfaces are, argues for their application in robots, and presents strategies for designing good conversational interfaces. It concludes with a discussion of the particular challenges faced in designing conversational interfaces for robots.
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Biermann, Hannah, Philipp Brauner, and Martina Ziefle. "How context and design shape human-robot trust and attributions." Paladyn, Journal of Behavioral Robotics 12, no. 1 (November 13, 2020): 74–86. http://dx.doi.org/10.1515/pjbr-2021-0008.
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AbstractIn increasingly digitized working and living environments, human-robot collaboration is growing fast with human trust toward robotic collaboration as a key factor for the innovative teamwork to succeed. This article explores the impact of design factors of the robotic interface (anthropomorphic vs functional) and usage context (production vs care) on human–robot trust and attributions. The results of a scenario-based survey with N=228 participants showed a higher willingness to collaborate with production robots compared to care. Context and design influenced the trust attributed to the robots: robots with a technical appearance in production were trusted more than anthropomorphic robots or robots in the care context. The evaluation of attributions by means of a semantic differential showed that differences in robot design were less pronounced for the production context in comparison to the care context. In the latter, anthropomorphic robots were associated with positive attributes. The results contribute to a better understanding of the complex nature of trust in automation and can be used to identify and shape use case-specific risk perceptions as well as perceived opportunities to interacting with collaborative robots. Findings of this study are pertinent to research (e.g., experts in human–robot interaction) and industry, with special regard given to the technical development and design.
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Topolsky, Dmitry, Irina Topolskaya, Iuliia Plaksina, Pavel Shaburov, Nikolay Yumagulov, Dmitry Fedorov, and Elena Zvereva. "Development of a Mobile Robot for Mine Exploration." Processes 10, no. 5 (April 27, 2022): 865. http://dx.doi.org/10.3390/pr10050865.
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This study focuses on aspects specific to adaptive mobile robotic systems. These include providing flexibility, high performance, the use of widely available element bases and others. The science intensity and technical level of the development of mobile robots are constantly growing. The element base of robots is constantly updated. In the presented article, the direction of research is related to the problems specific to mining robots. The use of research robots makes it possible to ensure safety of work in hard-to-reach places, monitor the status of active and idle mines, and find new minerals in idle mines, the processing of which was previously impossible. The article discusses the issues of ensuring the versatility of the design, the need to miniaturize robots, reducing the cost of the robot while maintaining high performance, achieving the required level of protection from environmental influences in mines, and compatibility with control systems. Various ways of navigating robots in a limited space are analyzed. The results of the development and testing of a mobile robot prototype are presented. When looking for ways to implement a robot, the emphasis is on an effective combination of hardware and software.
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Hamajima, Kyoko, and Masayoshi Kakikura. "Planning Strategy for Task Untangling Laundry - Isolating Clothes from a Washed Mass -." Journal of Robotics and Mechatronics 10, no. 3 (June 20, 1998): 244–51. http://dx.doi.org/10.20965/jrm.1998.p0244.
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Research on housework labor saving and automation for housework robots is growing as the population grays and improved electronics are becoming available to the home. Special problems for housework robots include the enormous recognition complexity needed if such robots are to be highly independent of the work environment. Robot must deal, for example, with the variety of ""nonsolid"" household objects. We studied the technology by which a robot handles nonsolid objects, focusing on putting clothing to order at a specified site. Concrete subtasks this involves include removing one type of clothing from a wash and spreading out, classifying, folding, and putting it in a specified place. This paper proposes a ""unfolding"" planning strategy.
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Coad, Margaret M., Rachel P. Thomasson, Laura H. Blumenschein, Nathan S. Usevitch, Elliot W. Hawkes, and Allison M. Okamura. "Retraction of Soft Growing Robots Without Buckling." IEEE Robotics and Automation Letters 5, no. 2 (April 2020): 2115–22. http://dx.doi.org/10.1109/lra.2020.2970629.
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Basilico, Nicola, Nicola Gatti, and Federico Villa. "Asynchronous Multi-Robot Patrolling against Intrusions in Arbitrary Topologies." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (July 4, 2010): 1224–29. http://dx.doi.org/10.1609/aaai.v24i1.7733.
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Use of game theoretical models to derive randomized mobile robot patrolling strategies has recently received a growing attention. We focus on the problem of patrolling environments with arbitrary topologies using multiple robots. We address two important issues cur rently open in the literature. We determine the smallest number of robots needed to patrol a given environment and we compute the optimal patrolling strategies along several coordination dimensions. Finally, we experimentally evaluate the proposed techniques.
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Hamajima, Kyoko, and Masayoshi Kakikura. "Planning Strategy for Task of Unfolding Clothes (Classification of Clothes)." Journal of Robotics and Mechatronics 12, no. 5 (October 20, 2000): 577–84. http://dx.doi.org/10.20965/jrm.2000.p0577.
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Research on housework labor saving and automation for housework robots is growing as the population grays and improved electronics are becoming available to the home. Special problems for housework robots include the enormous recognition complexity needed if such robots are to be highly housework objects. We studies the technology by which a robot handles nonsolid objects, focusing on putting clothing to order at a specified site. Concrete subtasks this involves include removing one type of clothing from a wash and spreading out, classifying, folding , and putting it in a specified place. This paper propose a ""unfolding"" planning strategy.
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Ramadhan, Andika Enggal, Djuniadi Djuniadi, and Esa Apriaskar. "Sistem Pengaturan Pulse Width Modulation Motor Pada Robot Pembawa Makanan atau Minuman Menggunakan Joystick." TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol 7, no. 2 (November 22, 2021): 134–43. http://dx.doi.org/10.15575/telka.v7n2.134-143.
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Teknologi robotika kini sudah semakin berkembang pesat, hal ini ditunjukkan banyak sekali penggunaan teknologi robot yang digunakan dalam kehidupan sehari-hari untuk membantu pekerjaan manusia. Robot pengantar makanan atau minuman juga menjadi salah satu teknologi robotika yang kini semakin marak dikembangkan. Banyak peneliti yang sudah mulai mengembangkan robot sebagai alat pembantu pekerjaan manusia untuk pengantar makanan dan minuman. Pada robot tersebut, proses untuk mengatur kecepatan roda penggeraknya dapat menggunakan kontrol langsung atau kontrol tidak langsung. Pada penelitian ini, pengontrolan secara tidak langsung dilakukan menggunakan joystick untuk mengatur masukan pulse width modulation yang kemudian dikonversikan menjadi kecepatan robot. Pengaturan ini dibantu dengan mikrokontorller ATMEGA 328P sebagai alat untuk komputasi dan eksekusi jari program. Sehingga kecepatan robot dapat diatur dengan sempurna. Berdasarkan hasil pengujian diperoleh bahwa perubahan PWM awal pada saat robot dari kondisi diam menuju berjalan dengan perubahan kecepatan yang linier terhadap perubahan sinyal analog dari joystick, sehingga pergerakan robot lebih stabil. Nowdays, robotics was growing rapidly, it is widely used in everyday life to help human work. Food or beverage delivery robots are also one of the robotics technologies that are increasingly being developed today. Many developers has started to develop food or beverage delivery robots. In order to adjust the speed of the robots, we can use direct or indirect control. This study uses indirect control using joystick as a regulator of pulse width modulation which is converted to robot speed. Furthermore,, we used ATMEGA 328P microcontroller for computing and finger execution of the program. So that the speed of the robot can be adjusted perfectly. The result show that the initial PWM changes when the position of robot is rest to walking has linear change in speed to changes in the analog signal from the joystick, so that the robot's movement is more stable.
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Matsuda, Keishi, and Hidenori Ishihara. "Maximization of Productivity by Distributed Robot System for Manufacturing Operation." Applied Mechanics and Materials 157-158 (February 2012): 1640–45. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1640.
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These days, research of multiple robots, which has distributed function and maximize their total ability have been frequently observed in the field of rescue robots or soccer robots tournament called ROBOCUP. This shows the rapidly growing need of more sophisticated multiple robots which are more dependable compared to function-integrated single robots. Accordingly, several studies have been made regarding sharing and distribution the knowledge which are obtained from the sensory operation. This knowledge must be utilized not only for geographical navigation but for highly complicated exercises. Asama et al. proposed the Intelligent Data Carrier (IDC) with the aim of sharing knowledge among the robots. This utilization of memory media has disadvantage of an increase in cost and redundant need of supervising system for the memory modules. Therefore, in this paper we propose the knowledge sharing system and autonomous line control system using the broad band wireless communication devices, such as wireless LAN and BluetoothR. If the robot modules are equipped with the independent communication systems, efficient and simplified unitary system shall become the practical use. This enables the robot to manage the knowledge interactively.
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Allali, Sarah, and Mahfoud Benchaïba. "Overview of Search and Rescue from Robotics to Wireless Sensors and Robots Networks." International Journal of Robotics Applications and Technologies 4, no. 2 (July 2016): 16–33. http://dx.doi.org/10.4018/ijrat.2016070102.
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In the recent years, many researchers have shown interest in developing search and rescue system composed of one or multiple robots, which have the mission of finding victims and identifying the potential hazards. To enhance the robotic systems there is a growing trend of integrating wireless sensor networks (WSNs) to robots and multi-robot systems, which gives more awareness of the environments. In the first part of this article, the authors present a review of robotic system and their environments in search and rescue systems. Additionally, they explain challenges related to these systems and tasks that a robot or a multi-robot system should execute to fulfil the search and rescue activities. As a second part, the authors expose the system that integrates WSNs with robots and the advantages that brings this latter. In addition, they cite tasks and missions that are achieved in a better way with a cooperation of WSN and robots. Furthermore, the authors expose and discuss the remarkable research, challenges and the open research challenges that includes this cooperation.
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Bogue, Robert. "The growing use of robots by the aerospace industry." Industrial Robot: An International Journal 45, no. 6 (October 15, 2018): 705–9. http://dx.doi.org/10.1108/ir-08-2018-0160.
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Purpose This paper aims to provide details of the growing uses of robots by the aerospace industry. Design/methodology/approach Following an introduction, this paper discusses and highlights the benefits of the following robotic applications and technologies: drilling and riveting; painting and stripping; composite structure manufacture; three-dimensional printing; and in-service engine inspection. Finally, brief conclusions are drawn. Findings Robots are increasingly being used by the aerospace sector in a diversity of applications. They confer a number of significant benefits including reduced costs, manpower and timescales, improved quality and novel manufacturing capabilities. The market is forecast for rapid growth as new applications emerge. Originality/value This paper illustrates the growing importance of robots in the aerospace sector.
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Kühne, Katharina, Melinda A. Jeglinski-Mende, Martin H. Fischer, and Yuefang Zhou. "Social robot – Jack of all trades?" Paladyn, Journal of Behavioral Robotics 13, no. 1 (January 1, 2022): 1–22. http://dx.doi.org/10.1515/pjbr-2022-0002.
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Abstract Background Social robots have been used in different roles, for example, in caregiving, companionship, and as a therapy tool, in recent years – with growing tendency. Although we still know little about factors that influence robots’ acceptance, studies have shown that robots are possible social companions for humans that help overcome loneliness, among other use cases. Especially in the given situation of forced social isolation, social companions are needed. This social gap might be filled by robots. We hypothesized that loneliness and the need to belong increase acceptance of social robots. Methods One hundred forty participants were asked to fill out an online survey on social robots and their acceptance in society. Questions on robots, demographical factors, and external factors (lockdown length) were asked and personal traits were also assessed. Results and interpretation As expected, among other findings, loneliness of participants was positively linked to robots’ acceptance. Nevertheless, need to belong was not. We conclude from these results that social robots are a possible social instrument to overcome loneliness and that interaction with a robot cannot replace belonging to a social group because robots lack needs that humans or animals have. Also, personality traits and demographic factors were linked to robots’ acceptance. This means that, even though there are generalizable connections between robots’ acceptance and factors as loneliness, personal traits are at least of similar importance. Discussion Our results provide important new insights into relationships between humans and robots and their limitations. Robots can ease our loneliness but are not seen as human. Future research needs to investigate factors that influence perception and acceptance of robots. Future lab-based studies with realistic human–robot interactions will deepen our insights of human understanding, perception, and acceptance of robots.
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Arora, Anshu Saxena, and Amit Arora. "The Race Between Cognitive and Artificial Intelligence." International Journal of Intelligent Information Technologies 16, no. 1 (January 2020): 1–16. http://dx.doi.org/10.4018/ijiit.2020010101.
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Research on human-robot interaction (HRI) is growing; however, focus on the congruent socio-behavioral HRI research fields of social cognition, socio-behavioral intentions, and code of ethics is lacking. Humans possess an inherent ability of integrating perception, cognition, and action; while robots may have limitations as they may not recognize an object or a being, navigate a terrain, and/or comprehend written or verbal language and instructions. This HRI research focuses on issues and challenges for both humans and robots from social, behavioral, technical, and ethical perspectives. The human ability to anthropomorphize robots and adoption of ‘intentional mindset' toward robots through xenocentrism have added new dimensions to HRI. Robotic anthropomorphism plays a significant role in how humans can be successful companions of robots. This research explores social cognitive intelligence versus artificial intelligence with a focus on privacy protections and ethical implications of HRI while designing robots that are ethical, cognitively and artificially intelligent, and social human-like agents.
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Kuremoto, Takashi, Takahito Komoto, Kunikazu Kobayashi, and Masanao Obayashi. "Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System." Journal of Robotics 2010 (2010): 1–9. http://dx.doi.org/10.1155/2010/307293.
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An improved self-organizing map (SOM), parameterless-growing-SOM (PL-G-SOM), is proposed in this paper. To overcome problems existed in traditional SOM (Kohonen, 1982), kinds of structure-growing-SOMs or parameter-adjusting-SOMs have been invented and usually separately. Here, we combine the idea of growing SOMs (Bauer and Villmann, 1997; Dittenbach et al. 2000) and a parameterless SOM (Berglund and Sitte, 2006) together to be a novel SOM named PL-G-SOM to realize additional learning, optimal neighborhood preservation, and automatic tuning of parameters. The improved SOM is applied to construct a voice instruction learning system for partner robots adopting a simple reinforcement learning algorithm. User's instructions of voices are classified by the PL-G-SOM at first, then robots choose an expected action according to a stochastic policy. The policy is adjusted by the reward/punishment given by the user of the robot. A feeling map is also designed to express learning degrees of voice instructions. Learning and additional learning experiments used instructions in multiple languages including Japanese, English, Chinese, and Malaysian confirmed the effectiveness of our proposed system.
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Bröhl, Christina, Jochen Nelles, Christopher Brandl, Alexander Mertens, and Verena Nitsch. "Human–Robot Collaboration Acceptance Model: Development and Comparison for Germany, Japan, China and the USA." International Journal of Social Robotics 11, no. 5 (November 5, 2019): 709–26. http://dx.doi.org/10.1007/s12369-019-00593-0.
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Abstract The use of robots in the national economy—especially in industrialized countries—is growing. At the same time, the interdependency between humans and robots is getting increasingly closer: they are engaging in direct contact with each other as more and more organizations let robots and humans work hand-in-hand. One factor that predicts successful human–robot interdependency is the acceptance of the robot by the human. Generally, only when an innovative assistive working system covers human needs and expectations, it is perceived to be useful and hence accepted. Furthermore, it has been found that cultural context has an impact on human–robot interaction, as people feel more comfortable interacting with a robot in a culturally normative way. Therefore this paper aims at presenting a human–robot collaboration acceptance model (HRCAM) with regard to the collaboration between humans and robots that is based on prior acceptance models, while also considering technology affinity and ethical, legal and social implications. Additionally, similarities and differences in robot acceptance are shown for four selected countries—both in comparison to the overall human–robot collaboration acceptance model and between the countries. The HRCAM additionally shows which variables influence perceived usefulness and perceived ease of use, and thus behavioral intention to use and use behavior. A further distinction is made between anchor variables, which can be influenced in the long term, and adjustment variables, which can be influenced in the short to medium term. The model therefore offers practitioners in the field of human–robot collaboration recommendations to increase the acceptance of robots.
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Ridlwan, Hasvienda Mohammad, Sonki Prasetya, and Musli Min. "2D Mapping Lingkungan Indoor Menggunakan Lidar dan ROS untuk Mobile Robot." Jurnal Mekanik Terapan 3, no. 2 (August 31, 2022): 60–65. http://dx.doi.org/10.32722/jmt.v3i2.4285.
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Currently, the application of control systems has been applied in various scientific fields including mechatronics and robotics. Applications in the branch of robotics are also growing day by day not only with conventional controls but also with intelligent systems. An autonomous robot in carrying out certain missions in an unknown environment requires information about the location itself and the environment through the map. A process to identify a position without a map is called a localization function on the robot. Mobile robots building maps and localization are two fundamental tasks when mobile robots work in indoor environments. With 2D laser scanning (LiDAR) data obtained in real-time, the robot can calculate the area of all empty spaces in a room, then can choose the center of the room as its position for map building. The objective of this research is to implement a two-dimensional mapping method using LiDAR. The algorithm used in this study is the Gmapping Technique on ROS. The main purpose of this research is to map mobile robots with LIDAR sensors using the Robot Operating System for navigation and positioning of mobile robots. Through the actual experimental results, the mobile robot will move with a 2-dimensional mapping process.
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Fosch-Villaronga, Eduard, and Jordi Albo-Canals. "“I’ll take care of you,” said the robot." Paladyn, Journal of Behavioral Robotics 10, no. 1 (January 18, 2019): 77–93. http://dx.doi.org/10.1515/pjbr-2019-0006.
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AbstractThe insertion of robotic and artificial intelligent (AI) systems in therapeutic settings is accelerating. In this paper, we investigate the legal and ethical challenges of the growing inclusion of social robots in therapy. Typical examples of such systems are Kaspar, Hookie, Pleo, Tito, Robota,Nao, Leka or Keepon. Although recent studies support the adoption of robotic technologies for therapy and education, these technological developments interact socially with children, elderly or disabled, and may raise concerns that range from physical to cognitive safety, including data protection. Research in other fields also suggests that technology has a profound and alerting impact on us and our human nature. This article brings all these findings into the debate on whether the adoption of therapeutic AI and robot technologies are adequate, not only to raise awareness of the possible impacts of this technology but also to help steer the development and use of AI and robot technologies in therapeutic settings in the appropriate direction. Our contribution seeks to provide a thoughtful analysis of some issues concerning the use and development of social robots in therapy, in the hope that this can inform the policy debate and set the scene for further research.
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Pollmann, Kathrin, and Daniel Ziegler. "A Pattern Approach to Comprehensible and Pleasant Human–Robot Interaction." Multimodal Technologies and Interaction 5, no. 9 (August 27, 2021): 49. http://dx.doi.org/10.3390/mti5090049.
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HRI designers are faced with the task of creating robots that are easy and pleasant to use for the users. The growing body of research in human–robot interaction (HRI) is still mainly focused on technical aspects of the interaction. It lacks defined guidelines that describe how behavioral expressions for social robots need to be designed to promote high usability and positive user experience. To achieve this goal, we propose to apply the concept of design patterns to HRI. We present a design process that provides step-by-step guidance and methods for HRI designers to generate high quality behavioral patterns for social robots that can be used for different robots and use cases. To document the resulting patterns, we developed a documentation format that provides a clear, standardized structure to note down all relevant aspects of a pattern so that others can understand its design recommendations and apply them to their own robot and use cases. In the present paper, we demonstrate our pattern approach based on an example and describe how we arrived at a pattern language of 40 behavioral patterns that found the basis for future social robot design and related research activities.
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Makondo, Ndivhuwo, Michihisa Hiratsuka, Benjamin Rosman, and Osamu Hasegawa. "A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations." Journal of Robotics and Mechatronics 30, no. 2 (April 20, 2018): 265–81. http://dx.doi.org/10.20965/jrm.2018.p0265.
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The number and variety of robots active in real-world environments are growing, as well as the skills they are expected to acquire, and to this end we present an approach for non-robotics-expert users to be able to easily teach a skill to a robot with potentially different, but unknown, kinematics from humans. This paper proposes a method that enables robots with unknown kinematics to learn skills from demonstrations. Our proposed method requires a motion trajectory obtained from human demonstrations via a vision-based system, which is then projected onto a corresponding human skeletal model. The kinematics mapping between the robot and the human model is learned by employing Local Procrustes Analysis, a manifold alignment technique which enables the transfer of the demonstrated trajectory from the human model to the robot. Finally, the transferred trajectory is encoded onto a parameterized motion skill, using Dynamic Movement Primitives, allowing it to be generalized to different situations. Experiments in simulation on the PR2 and Meka robots show that our method is able to correctly imitate various skills demonstrated by a human, and an analysis of the transfer of the acquired skills between the two robots is provided.
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Bogue, Robert. "Europe leads the way in assistive robots for the elderly." Industrial Robot: An International Journal 44, no. 3 (May 15, 2017): 253–58. http://dx.doi.org/10.1108/ir-02-2017-0041.
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Purpose This paper aims to provide details of European research projects and product developments involving robots that can assist the ageing population. Design/methodology/approach Following an introduction, the role of assistive robots and research into the nature of the human–robot interaction are considered. The paper then discusses a selection of European research projects and a number of companies producing or developing assistive robots. Finally, brief conclusions are drawn. Findings In recognition of the fact that the growing, ageing population has needs that place an unsustainable burden on carers and healthcare providers, Europe is investing heavily in assistive robots. Many European Union-funded, collaborative projects have been conducted and several continue today which build on the extensive body of earlier research. Significant progress is being made, and assistive robot research has moved on from purely technological developments to field trials involving real people in realistic environments. Several products exist or are at an advanced stage of development and have often benefited or arisen from these projects. Europe is in a very strong position to capitalise on this emerging market opportunity. Originality/value This provides a detailed insight into European assistive robot development activities.
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Kubota, Naoyuki, and Shiho Wakisaka. "An Emotional Model Based on Location-Dependent Memory for Partner Robots." Journal of Robotics and Mechatronics 21, no. 3 (June 20, 2009): 317–23. http://dx.doi.org/10.20965/jrm.2009.p0317.
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With user expectations for user-friendly robots growing, the question of what makes a robot “user-friendly” continues to be debated. With the human need to add an “emotional” aspect to robots – “humanoid” shape such as Asimo and “fuzzy-feely” appeal such as Paro – we propose an emotional model based on location-dependent memory for partner robots. Focusing on the functions of emotion in social interaction, our proposed model is based on emotions, feelings, and mood and “episodic” memory related to changes in feeling. We propose map building and behavior control based on the emotional model. Experimental results demonstrate the feasibility of the emotional model and related behavior based on location-dependent memory.
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Mitkov, Ivan, Veselin Harizanov, and Georgi Komitov. "Determining the energy efficiency of an agrorobot." Agricultural Sciences 13, no. 30 (September 20, 2021): 73–78. http://dx.doi.org/10.22620/agrisci.2021.30.010.
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The problem of feeding the population and the lack of trained staff for growing crops is increasing all over the world. This inevitably leads to a change in technology for growing crops. These new technologies rely on autonomous robotic systems for the continuous cultivation of crops without human personnel. Robots are small, smart, interconnected, lightweight machines that aim to release the person from the basic everyday pursuits. Globally, there is a trend in agriculture to automate the hard manual labor with continued increases in yields to feed the population. This article discusses the problems of determining the main energy aspects of agricultural robots. Guidelines are given for determining the energy saving of the robot, depending on the time for its long autonomous operation, the terrain to be cultivated and a number of other factors. Exemplary values of the energy required to drive the agricultural robot and the time for energy recovery through renewable energy sources have been determined.
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Masterson, Annette. "Designing a Loving Robot: A Social Construction Analysis of a Sex Robot Creator’s Vision." Special Issue: Gender and Human-Machine Communication 5 (December 19, 2022): 99–114. http://dx.doi.org/10.30658/hmc.5.4.
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In 2018, one of the world’s first sex robots was released by CEO Matt McMullen and his company, RealDoll. With artificial intelligence capabilities, the Harmony model is meant to support and converse with users. Using a social construction of technology theory lens, this study develops the theory’s fourth level of analysis, emphasizing mass media’s construction abilities. A critical discourse analysis of 38 publicity interviews found a tendency to emphasize the companionship of sex robots while envisioning a future where integration is normalized, and a sentient robot is possible. As the creator, McMullen’s vision could determine the future of robotic design, leading to a deeper understanding of this new technology. This study adds to the growing literature on sex robots by addressing the creator’s public intentions.
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Katsanis, Ilias A., Vassilis C. Moulianitis, and Diamantis T. Panagiotarakos. "Design, Development, and a Pilot Study of a Low-Cost Robot for Child–Robot Interaction in Autism Interventions." Multimodal Technologies and Interaction 6, no. 6 (June 6, 2022): 43. http://dx.doi.org/10.3390/mti6060043.
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Socially assistive robots are widely deployed in interventions with children on the autism spectrum, exploiting the benefits of this technology in social behavior intervention plans, while reducing their autistic behavior. Furthermore, innovations in modern technologies such as machine learning enhance these robots with great capabilities. Since the results of this implementation are promising, their total cost makes them unaffordable for some organizations while the needs are growing progressively. In this paper, a low-cost robot for autism interventions is proposed, benefiting from the advantages of machine learning and low-cost hardware. The mechanical design of the robot and the development of machine learning models are presented. The robot was evaluated by a small group of educators for children with ASD. The results of various model implementations, together with the design evaluation of the robot, are encouraging and indicate that this technology would be advantageous for deployment in child–robot interaction scenarios.
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Bogue, Robert. "Sensors for robotic perception. Part one: human interaction and intentions." Industrial Robot: An International Journal 42, no. 5 (August 17, 2015): 386–91. http://dx.doi.org/10.1108/ir-05-2015-0098.
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Purpose – The purpose of this two-part paper is to illustrate how sensors impart robots with perceptive capabilities. This first part considers robots that interact with humans and which seek to mimic human intentions. Design/methodology/approach – Following a short introduction, this paper first discusses the sensors used in robotic prosthetics. It then considers sensor applications in recently developed service, companion and assistive robots. The final section concerns the sensors used in collaborative robots, followed by brief concluding comments. Findings – This shows that sensors play a vital role in imparting perceptive capabilities to robots which interact with people. They can interpret human intentions, control prosthetic limbs, monitor and map a robot’s environment, assist with navigation, ensure the safety of co-workers and even detect a person’s emotional state. They are based on a diversity of principles and technologies, including microelectromechanical system (MEMS)-based sensors for physical variables, myographic electrodes and electroencephalogram (EEG) sensors, lasers, infra-red and sonar systems and sophisticated cameras and imaging systems. Originality/value – This provides a timely account of how sensors confer perceptive capabilities to the growing number of robots which interact directly with people.
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Bogue, Robert. "Strong prospects for robots in retail." Industrial Robot: the international journal of robotics research and application 46, no. 3 (May 20, 2019): 326–31. http://dx.doi.org/10.1108/ir-01-2019-0023.
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Purpose This paper aims to illustrate the rapidly growing use of robots in the retail sector by considering a range of products and applications. Design/methodology/approach Following a short introduction, this paper discusses robotic products and deployments in the following applications: inventory management, the provision of customer assistance, cleaning and hazard detection and product delivery. It concludes with a brief discussion. Findings Robots are rapidly making inroads in the retail sector. They have been shown to reduce manpower requirements, improve efficiency, reduce costs and speed-up deliveries. As applications grow and the technologies mature, retail is expected to become a major robot user and will offer significant business opportunities. Originality/value This study provides a detailed insight into the emerging and rapidly developing retail robotics business.
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Eoh, Gyuho, and Tae-Hyoung Park. "Cooperative Object Transportation Using Curriculum-Based Deep Reinforcement Learning." Sensors 21, no. 14 (July 13, 2021): 4780. http://dx.doi.org/10.3390/s21144780.
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This paper presents a cooperative object transportation technique using deep reinforcement learning (DRL) based on curricula. Previous studies on object transportation highly depended on complex and intractable controls, such as grasping, pushing, and caging. Recently, DRL-based object transportation techniques have been proposed, which showed improved performance without precise controller design. However, DRL-based techniques not only take a long time to learn their policies but also sometimes fail to learn. It is difficult to learn the policy of DRL by random actions only. Therefore, we propose two curricula for the efficient learning of object transportation: region-growing and single- to multi-robot. During the learning process, the region-growing curriculum gradually extended to a region in which an object was initialized. This step-by-step learning raised the success probability of object transportation by restricting the working area. Multiple robots could easily learn a new policy by exploiting the pre-trained policy of a single robot. This single- to multi-robot curriculum can help robots to learn a transporting method with trial and error. Simulation results are presented to verify the proposed techniques.
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Shiomi, Masahiro, Hidenobu Sumioka, and Hiroshi Ishiguro. "Survey of Social Touch Interaction Between Humans and Robots." Journal of Robotics and Mechatronics 32, no. 1 (February 20, 2020): 128–35. http://dx.doi.org/10.20965/jrm.2020.p0128.
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In human-human interaction, social touch provides several merits, from both physical and mental perspectives. The physical existence of robots helps them reproduce human-like social touch, during their interaction with people. Such social touch shows positive effects, similar to those observed in human-human interaction. Therefore, social touch is a growing research topic in the field of human-robot interaction. This survey provides an overview of the work conducted so far on this topic.
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Wykowska, Agnieszka. "Social Robots to Test Flexibility of Human Social Cognition." International Journal of Social Robotics 12, no. 6 (July 10, 2020): 1203–11. http://dx.doi.org/10.1007/s12369-020-00674-5.
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AbstractAs the field of social robotics has been dynamically growing and expanding over various areas of research and application, in which robots can be of assistance and companionship for humans, this paper offers a different perspective on a role that social robots can also play, namely the role of informing us about flexibility of human mechanisms of social cognition. The paper focuses on studies in which robots have been used as a new type of “stimuli” in psychological experiments to examine whether similar mechanisms of social cognition would be activated in interaction with a robot, as would be elicited in interaction with another human. Analysing studies in which a direct comparison has been made between a robot and a human agent, the paper examines whether for robot agents, the brain re-uses the same mechanisms that have been developed for interaction with other humans in terms of perception, action representation, attention and higher-order social cognition. Based on this analysis, the paper concludes that the human socio-cognitive mechanisms, in adult brains, are sufficiently flexible to be re-used for robotic agents, at least for those that have some level of resemblance to humans.
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Jánoš, Rudolf, and Dobiaš Dominik. "DESIGN OF INDUSTRIAL ROBOT WITH INCREASED LOCOMOTION." TECHNICAL SCIENCES AND TECHNOLOG IES, no. 4 (14) (2018): 95–100. http://dx.doi.org/10.25140/2411-5363-2018-4(14)-95-100.
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Urgency of the research. One of the top trends in the field of mechanical engineering is automation. An inherent part of automation in today's businesses is industrial robots of various categories. In today's industrial production, human and robot are usually separated from each other in order to avoid potential collisions. Continuous development and the growing trend of robotics, in order to increase competitiveness, abandons this individual and isolated robot deployment and prevents group-building of human-robot workplaces. Target setting. The reason for designing industrial robots with capacity around 5-10kg according to human anatomy is that the transition from semi-automated production (operating lines controlled by operators) to fully automated production requires industrial robots that have dimensions similar to human anatomy. Actual scientific researches and issues analysis. The current production of robot devices reaches a high technical level, which is further enhanced by the continued development of their subsystems, but also by the upgrading of functional principles and elements that are involved in the architecture and morphology of these devices. The research objective. To what extent is it possible for the work process to be mechanized or automated depends also on the level of development of the used equipment. In today's development stage, design of automated device is also automated. The statement of basic materials: From the point of view of approaching the design of robots systems means a common sign is a mechatronic approach. Robots technical devices are a typical product with all the features of mechatronics (linking knowledge of engineering, management methods and artificial intelligence). This becomes the starting point for the elaboration of the methods of designing robots at all. Conclusions. This article focuses on the design of the robotics devices, whose main task is to perform the assembly. The future of deploying human-robot collaboration has enormous boundaries and many variables that still need to be addressed. It is important to remember that this technology is not about replacing people with robots. Rather, it is about using robust human features and robot strengths to achieve a new level of efficiency and productivity that could not be achieved by self-employment.
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Bogue, Robert. "Fruit picking robots: has their time come?" Industrial Robot: the international journal of robotics research and application 47, no. 2 (January 16, 2020): 141–45. http://dx.doi.org/10.1108/ir-11-2019-0243.
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Purpose The purpose of this paper is to describe recent fruit picking robot developments with an emphasis on corporate activity rather than academic research. It also aims to provide a view on the commercial prospects for these developments. Design/methodology/approach Following a short introduction, this first discusses strawberry and other soft fruit picking robot developments conducted principally by commercial organisations. It then provides similar details of robots for harvesting apples and other hard fruits. This is followed by a discussion and concluding comments. Findings The shortage of seasonal fruit pickers has stimulated the need for automation. Accordingly, a growing community of companies, many founded in the past five years, are developing fruit picking robots. These are aimed at both soft and hard fruits, such as strawberries and apples, respectively, and exploit advanced vision systems, image processing techniques and AI. Some products are already on the market, whereas many more are due for commercial release during the next two years into what is expected to be a highly competitive market. Originality/value This provides details of the emerging fruit picking robot business by describing the products and manufacturing companies.
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Kharub, Isha, Michael Lwin, Aila Khan, Omar Mubin, and Suleman Shahid. "The Effectiveness of Robot-Enacted Messages to Reduce the Consumption of High-Sugar Energy Drinks." Informatics 9, no. 2 (June 20, 2022): 49. http://dx.doi.org/10.3390/informatics9020049.
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This exploratory study examines the effectiveness of social robots’ ability to deliver advertising messages using different “appeals” in a business environment. Specifically, it explores the use of three types of message appeals in a human-robot interaction scenario: guilt, humour and non-emotional. The study extends past research in advertising by exploring whether messages communicated by social robots can impact consumers’ behaviour. Using an experimental research design, the emotional-themed messages focus on the health-related properties of two fictitious energy drink brands. The findings show mixed results for humour and guilt messages. When the robot delivered a promotion message using humour, participants perceived it as being less manipulative. Participants who were exposed to humourous messages also demonstrated a significantly greater intent for future purchase decisions. However, guilt messages were more likely to persuade consumers to change their brand selection. This study contributes to the literature as it provides empirical evidence on the social robots’ ability to deliver different advertising messages. It has practical implications for businesses as a growing number seek to employ humanoids to promote their services.
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Moschetti, Alessandra, Filippo Cavallo, Dario Esposito, Jacques Penders, and Alessandro Di Nuovo. "Wearable Sensors for Human–Robot Walking Together." Robotics 8, no. 2 (May 15, 2019): 38. http://dx.doi.org/10.3390/robotics8020038.
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Thanks to recent technological improvements that enable novel applications beyond the industrial context, there is growing interest in the use of robots in everyday life situations. To improve the acceptability of personal service robots, they should seamlessly interact with the users, understand their social signals and cues and respond appropriately. In this context, a few proposals were presented to make robots and humans navigate together naturally without explicit user control, but no final solution has been achieved yet. To make an advance toward this end, this paper proposes the use of wearable Inertial Measurement Units to improve the interaction between human and robot while walking together without physical links and with no restriction on the relative position between the human and the robot. We built a prototype system, experimented with 19 human participants in two different tasks, to provide real-time evaluation of gait parameters for a mobile robot moving together with a human, and studied the feasibility and the perceived usability by the participants. The results show the feasibility of the system, which obtained positive feedback from the users, giving valuable information for the development of a natural interaction system where the robot perceives human movements by means of wearable sensors.