Relevant bibliographies by topics / Robots

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Robots'

Author: Grafiati
Published: 4 June 2021
Last updated: 23 November 2024

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Journal articles on the topic "Robots"

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Yu, Zhong Hai. "Generic Technology of Home Service Robot." Applied Mechanics and Materials 121-126 (October 2011): 3330–34. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3330.

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The paper briefly looks back on current research situation of home service robots. It takes a home nursing robot as example to study and discuss some key generic technologies of home service robots. It generally overviewed robot’s mobile platform technology, modular design, reconfigurable robot technique, motion control, sensor technologies, indoor robot’s navigation and localization technology indoor, intelligentization, and robot’s technology standardization. Some the measures of technology standardization of home service robots have been put forward. It has realistic signification for industrialization of home service robots.
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Momen, Ali, and Eva Wiese. "Noticing Extroversion Effects Attention: How Robot and Participant Personality Affect Gaze Cueing." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1557–61. http://dx.doi.org/10.1177/1541931218621352.

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Social robots with expressive gaze have positive effects on human-robot interaction. In particular, research suggests that when robots are programmed to express introverted or extroverted gaze behavior, individuals enjoy interacting more with robots that match their personality. However, how this affects social-cognitive performance during human-robot interactions has not been thoroughly examined yet. In the current paper, we examine whether the perceived match between human and robot personality positively affects the degree to which the robot’s gaze is followed (i.e., gaze cueing, as a proxy for more complex social-cognitive behavior). While social attention has been examined extensively outside of human-robot interaction, recent research shows that a robot’s gaze is attended to in a similar way as a human’s gaze. While our results did not support the hypothesis that gaze cueing would be strongest when the participant’s personality matched the robot’s personality, we did find evidence that participants followed the gaze of introverted robots more strongly than the gaze of extroverted robots. This finding suggests that agent’s displaying extroverted gaze behavior may hurt performance in human-robot interaction.
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Andrean, Danu, and Nuryono Satya Widodo. "Simulation and Implementation of RSCUAD Walking Robot Based on ROS and Gazebo Simulator." Control Systems and Optimization Letters 1, no. 2 (July 18, 2023): 93–98. http://dx.doi.org/10.59247/csol.v1i2.32.

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This research describes the virtual humanoid robot R-SCUAD using the Gazebo simulator. In its development, humanoid robots often perform movements that have a negative impact on the robot's hardware, therefore the development of a virtual robot model is a solution to overcome this problem. So that the robot can be simulated before running. Gazebo is a robot simulator that allows to accurately simulate, design and test robots in various environments. Gazebo itself is a simulation used by ROS (robotic operating system). The simulation is built by doing a 3D design process in solidwork software and exported to a URDF file that matches the format on the ROS. Tests carried out on robots are by comparing virtual robots with real robots. From the tests carried out on the robot, it was found that the virtual robot can walk according to the real robot, such as falling if the robot's condition is not balanced. The simulation robot also moves according to the real robot when the controls are carried out.
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Alzoubi, Saleem, and Mahdi H. Miraz. "Enhancing Robot Navigation Efficiency Using Cellular Automata with Active Cells." Annals of Emerging Technologies in Computing 8, no. 2 (April 1, 2024): 56–70. http://dx.doi.org/10.33166/aetic.2024.02.005.

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Enhancing robot navigation efficiency is a crucial objective in modern robotics. Robots relying on external navigation systems are often susceptible to electromagnetic interference (EMI) and encounter environmental disturbances, resulting in orientation errors within their surroundings. Therefore, the study employed an internal navigation system to enhance robot navigation efficacy under interference conditions, based on the analysis of the internal parameters and the external signals. This article presents details of the robot’s autonomous operation, which allows for setting the robot's trajectory using an embedded map. The robot’s navigation process involves counting the number of wheel revolutions as well as adjusting wheel orientation after each straight path section. In this article, an autonomous robot navigation system has been presented that leverages an embedded control navigation map utilising cellular automata with active cells which can effectively navigate in an environment containing various types of obstacles. By analysing the neighbouring cells of the active cell, the cellular environment determines which cell should become active during the robot’s next movement step. This approach ensures the robot’s independence from external control inputs. Furthermore, the accuracy and speed of the robot’s movement have been further enhanced using a hexagonal mosaic for navigation surface mapping. This concept of utilising on cellular automata with active cells has been extended to the navigation of a group of robots on a shared navigation surface, taking into account the intersections of the robots’ trajectories over time. To achieve this, a distance control module has been used that records the travelled trajectories in terms of wheel turns and revolutions.
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Phillips, Elizabeth, Daniel Ullman, Maartje M. A. de Graaf, and Bertram F. Malle. "What Does A Robot Look Like?: A Multi-Site Examination of User Expectations About Robot Appearance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1215–19. http://dx.doi.org/10.1177/1541931213601786.

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Robot design is a critical component of human-robot interaction. A robot’s appearance shapes people’s expectations of that robot, which in turn affect human-robot interaction. This paper reports on an exploratory analysis of 155 drawings of robots that were collected across three studies. The purpose was to gain a better understanding of people’s a priori expectations about the appearance of robots across a variety of robot types (household, military, humanoid, generic, and AI). The findings suggest that people’s visualizations of robots have common features that can be grouped into five broad components. People seem to distinguish between human-like and machine-like robots, with a default visualization of robots having a human-like appearance. In addition, expectations about robot appearance may be dependent on application domain.
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Belaidi, Hadjira, and Fethi Demim. "NURBs Based Multi-robots Path Planning with Obstacle Avoidance." Journal of Computing Theories and Applications 1, no. 4 (May 5, 2024): 478–91. http://dx.doi.org/10.62411/jcta.10387.

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The primary problem for multi-robot displacement and motion phase solving requires that the robots prevent themselves from colliding with each other as well as stationary obstacles. In certain situations, robot conflict is unavoidable if one robot views its neighbors as immovable obstacles. Hence, this paper proposes a new NURBs (Non-Uniform Rational B-spline) based algorithm for multi-robot path planning in a crowded environment. First, the proposed technique finds each robot's free, smooth, optimal path while avoiding collision with the existing obstacles. Secondly, the prospect of possible collision between the preplanned trajectories will be computed to allow the robots to navigate in the same workspace and coordinate between them. Then, each robot's time to arrive at potential collision sites is computed based on its speed. As a result, the robots involved in the collision must choose whether to use the robot priority technique to prevent the collision. Simulation results under different scenarios and comparisons with previous works are provided to validate the work. The obtained results prove that the proposed approach is accurate (as the robot's instantaneous speed is taken into consideration), fast (as there is no need to broadcast the robots’ positions), the robots’ paths are optimal and smooth (to avoid jerk movements), and the approach ensures that the robots will not be trapped by local minima problem.
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Yin, Zikang, Chao Ye, Hao An, Weiyang Lin, and Zhifeng Wang. "Robot Manipulation Skills Transfer for Sim-to-Real in Unstructured Environments." Electronics 12, no. 2 (January 13, 2023): 411. http://dx.doi.org/10.3390/electronics12020411.

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Robot force control that needs to be customized for the robot structure in unstructured environments with difficult-to-tune parameters guarantees robots’ compliance and safe human–robot interaction in an increasingly expanding work environment. Although reinforcement learning provides a new idea for the adaptive adjustment of these parameters, the policy often needs to be trained from scratch when used in new robotics, even in the same task. This paper proposes the episodic Natural Actor-Critic algorithm with action limits to improve robot admittance control and transfer motor skills between robots. The motion skills learned by simple simulated robots can be applied to complex real robots, reducing the difficulty of training and time consumption. The admittance control ensures the realizability and mobility of the robot’s compliance in all directions. At the same time, the reinforcement learning algorithm builds up the environment model and realizes the adaptive adjustment of the impedance parameters during the robot’s movement. In typical robot contact tasks, motor skills are trained in a robot with a simple structure in simulation and used for a robot with a complex structure in reality to perform the same task. The real robot’s performance in each task is similar to the simulated robot’s in the same environment, which verifies the method’s effectiveness.
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Wee, Sung-Gil, Yanyan Dai, Tae Hun Kang, and Suk-Gyu Lee. "Variable formation control of multiple robots via VRc and formation switching to accommodate large heading changes by leader robot." Advances in Mechanical Engineering 11, no. 6 (June 2019): 168781401985733. http://dx.doi.org/10.1177/1687814019857339.

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This article describes a novel multi-robot formation control based on a switching technique that allows follower robots to maintain formation when the leader robot’s direction changes rapidly or unexpectedly. The formation pattern is determined using Virtual Robot’s Center of the multi-robot formation. To avoid collision, the formation of robots reformed in optimal size by estimating the distance between the robot and an obstacle in real time. When the leader robot suddenly changes its direction, waypoints of follower robots are switched and the formation is quickly reconstructed. This prevents follower robots from colliding with each other and reduces their radius of movement and allows them to follow the leader robot at higher speed. The proposed method which is inherently a flexible control of multi-robot formation guarantees collision avoidance and prevents sudden changes in waypoints of the system by gradually changing its size. The validity of the proposed method is demonstrated via simulation and experimental results.
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Huang, Lixiao, Daniel McDonald, and Douglas Gillan. "Exploration of Human Reactions to a Humanoid Robot in Public STEM Education." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1262–66. http://dx.doi.org/10.1177/1541931213601796.

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The service and entertainment industry advocates the possibility of using humanoid robots; however, direct interaction experience is uncommon. To understand humans’ interactions with humanoid robots, the present study used a robot capable of face recognition and conversation in a park and a school setting to explore the behavioral patterns of humans, dialog themes, and emotional responses. Results showed that humans’ behavioral patterns included looking at the robot, talking to the robot, talking to others about the robot, and adults taking photos. School children showed strong interest to interact with the robot and rich emotional responses. Major dialog themes included greeting, asking about the robot’s identity, testing the robot’s knowledge and capabilities, asking and replying about preferences and opinions, and correcting the robot’s errors. Observed emotional responses included liking, surprise, excitement, fright, frustration, and awkwardness. Humans interacted with the robot similarly to how they would interact with other humans but also differently. The educational value and design implication for humanoid robots are discussed.
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Munir, Safa, Kashaf Khan, Dr Naeem Aslam, Kamran Abid, and Mustajib-ur Rehman. "Humanoid Robots: Cybersecurity Concerns And Firewall Implementation." VFAST Transactions on Software Engineering 11, no. 1 (March 31, 2023): 85–100. http://dx.doi.org/10.21015/vtcs.v11i1.1454.

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Technology has grown more important in our lives, and scientists are developing new products to make people’s life easier and more pleasant. One of these innovations is the humanoid robot. The use of humanoid robots in our daily lives is expanding at an unprecedented rate as robots are being used in different aspects of life. The market is becoming more automated and optimized, Robotics serves as one of the primary instruments used for these reasons. Yet, security continues to pose a concern for robotics. As humanoid robots begin to function "in the open," we must assess the threats they will confront. Through the literature review, researchers found that security assessments were not performed on the robots which cause the robots to be weak against cybersecurity attacks. In this research, we perform different security assessments to identify the vulnerabilities in humanoid robots. Furthermore, different metrics were used to check and perform security assessments on the robot as well as the results of security assessments has been shown. It was shown that humanoid robots are vulnerable as anyone will be able to hack the login credentials of robot’s website as well as there are some open ports in the robot’s network which can be used by the hackers to exploit robot’s working. Based on the results of assessment methods and our findings, we gave the firewall framework which will be helpful to protect the humanoid robot against those security vulnerabilities and attacks.This firewall framework will be able to protect the humanoid robots in aspects of both network and website/webpage exploitation.
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Dissertations / Theses on the topic "Robots"

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Igelmo, Victor. "Using a general robot programming system to control an industrial robot." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15722.

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Industrial robot programs are usually created with the programming language that the manufacturer provides. These languages are often limited to cover the common usages within the industry. However, when a more advanced program is needed, then third-party programs are often used to, e.g., locating objects using vision systems, applying correct force with force torque sensors, etc. Instead of using both the language of the robot and third-party programs to create more advanced programs, it is preferable to have one system that can fully control the robot. Such systems exist, e.g., Robot Operating System (ROS), Yet Another Robot Language (YARP), etc. These systems require more time to fully set up, but once they are set up supposedly they can be used for a lot of different applications and can be used on several industrial robots from different manufacturers. Currently, University of Skövde have robots from Universal Robots (UR) with several peripheral equipment which has limited control because the built-in language does not support it. Therefore, they need help with both investigating which robot system could be used and implementing that robot system. This thesis will prove the suitability of using ROS to control aforesaid hardware, fulfilling all the requirements. It will be also demonstrated the feasibility of ROS in the long-term, according to the future plans for this equipment in University of Skövde.
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O'Hara, Keith Joseph. "Leveraging distribution and heterogeneity in robot systems architecture." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42706.

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Like computer architects, robot designers must address multiple, possibly competing, requirements by balancing trade-offs in terms of processing, memory, communication, and energy to satisfy design objectives. However, robot architects currently lack the design guidelines, organizing principles, rules of thumb, and tools that computer architects rely upon. This thesis takes a step in this direction, by analyzing the roles of heterogeneity and distribution in robot systems architecture. This thesis takes a systems architecture approach to the design of robot systems, and in particular, investigates the use of distributed, heterogeneous platforms to exploit locality in robot systems design. We show how multiple, distributed heterogeneous platforms can serve as general purpose robot systems for three distinct domains with different design objectives: increasing availability in a search and rescue mission, increasing flexibility and ease-of-use for a personal educational robot, and decreasing the computation and sensing resources necessary for navigation and foraging tasks.
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Hornfeck, Kenneth B. "A Customizable Socially Interactive Robot with Wireless Health Monitoring Capability." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1301595272.

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Sung, Ja-Young. "Towards the human-centered design of everyday robots." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39539.

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The recent advancement of robotic technology brings robots closer to assisting us in our everyday spaces, providing support for healthcare, cleaning, entertaining and other tasks. In this dissertation, I refer to these robots as everyday robots. Scholars argue that the key to successful human acceptance lies in the design of robots that have the ability to blend into everyday activities. A challenge remains; robots are an autonomous technology that triggers multi-faceted interactions: physical, intellectual, social and emotional, making their presence visible and even obtrusive. These challenges need more than technological advances to be resolved; more human-centered approaches are required in the design. However to date, little is known about how to support that human-centered design of everyday robots. In this thesis, I address this gap by introducing an initial set of design guidelines for everyday robots. These guidelines are based on four empirical studies undertaken to identify how people live with robots in the home. These studies mine insights about what interaction attributes of everyday robots elicit positive or negative user responses. The guidelines were deployed in the development of one type of everyday robot: a senior-care robot called HomeMate. It shows that the guidelines become useful during the early development process by helping designers and robot engineers to focus on how social and emotional values of end-users influence the design of the technical functions required. Overall, this thesis addresses a question how we can support the design of everyday robots to become more accepted by users. I respond to this question by proposing a set of design guidelines that account for lived experiences of robots in the home, which ultimately can improve the adoption and use of everyday robots.
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Remy, Sekou. "How to teach a new robot new tricks an interactive learning framework applied to service robotics /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31678.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.
Committee Chair: Dr. Ayanna M. Howard; Committee Member: Dr. Charles Kemp; Committee Member: Dr. Magnus Egerstedt; Committee Member: Dr. Patricio Vela. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Switzer, Barbara T. "Robotic path planning with obstacle avoidance /." Online version of thesis, 1993. http://hdl.handle.net/1850/11712.

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Robinette, Paul. "Developing robots that impact human-robot trust in emergency evacuations." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54415.

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High-risk, time-critical situations require trust for humans to interact with other agents even if they have never interacted with the agents before. In the near future, robots will perform tasks to help people in such situations, thus robots must understand why a person makes a trust decision in order to effectively aid the person. High casualty rates in several emergency evacuations motivate our use of this scenario as an example of a high-risk, time-critical situation. Emergency guidance robots can be stored inside of buildings then activated to search for victims and guide evacuees to safety. In this dissertation, we determined the conditions under which evacuees would be likely to trust a robot in an emergency evacuation. We began by examining reports of real-world evacuations and considering how guidance robots can best help. We performed two simulations of evacuations and learned that robots could be helpful as long as at least 30% of evacuees trusted their guidance instructions. We then developed several methods for a robot to communicate directional information to evacuees. After performing three rounds of evaluation using virtually, remotely and physically present robots, we concluded that robots should communicate directional information by gesturing with two arms. Next, we studied the effect of situational risk and the robot's previous performance on a participant's decision to use the robot during an interaction. We found that higher risk scenarios caused participants to align their self-reported trust with their decisions in a trust situation. We also discovered that trust in a robot drops after a single error when interaction occurs in a virtual environment. After an exploratory study in trust repair, we have learned that a robot can repair broken trust during the emergency by apologizing for its prior mistake or giving additional information relevant to the situation. Apologizing immediately after the error had no effect. Robots have the potential to save lives in emergency scenarios, but could have an equally disastrous effect if participants overtrust them. To explore this concept, we created a virtual environment of an office as well as a real-world simulation of an emergency evacuation. In both, participants interacted with a robot during a non-emergency phase to experience its behavior and then chose whether to follow the robot’s instructions during an emergency phase or not. In the virtual environment, the emergency was communicated through text, but in the real-world simulation, artificial smoke and fire alarms were used to increase the urgency of the situation. In our virtual environment, we confirmed our previous results that prior robot behavior affected whether participants would trust the robot or not. To our surprise, all participants followed the robot in the real-world simulation of an emergency, despite half observing the same robot perform poorly in a navigation guidance task just minutes before. We performed additional exploratory studies investigating different failure modes. Even when the robot pointed to a dark room with no discernible exit the majority of people did not choose to exit the way they entered. The conclusions of this dissertation are based on the results of fifteen experiments with a total of 2,168 participants (2,071 participants in virtual or remote studies conducted over the internet and 97 participants in physical studies on campus). We have found that most human evacuees will trust an emergency guidance robot that uses understandable information conveyance modalities and exhibits efficient guidance behavior in an evacuation scenario. In interactions with a virtual robot, this trust can be lost because of a single error made by the robot, but a similar effect was not found with real-world robots. This dissertation presents data indicating that victims in emergency situations may overtrust a robot, even when they have recently witnessed the robot malfunction. This work thus demonstrates concerns which are important to both the HRI and rescue robot communities.
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Smith, Brian Stephen. "Automatic coordination and deployment of multi-robot systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28248.

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Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.
Committee Chair: Dr. Magnus Egerstedt; Committee Co-Chair: Dr. Ayanna Howard; Committee Member: Dr. David Taylor; Committee Member: Dr. Frank Dellaert; Committee Member: Dr. Ian Akyildiz; Committee Member: Dr. Jeff Shamma.
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Pires, Leo Santana. "Uma contribuição ao estudo da dinamica não linear e controle de um particular sistema robotico levando-se em conta as interações entre as juntas." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264708.

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Orientadores: Helder Anibal Hermini, Jose Manoel Balthazar
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Meêanica
Made available in DSpace on 2018-08-04T10:09:17Z (GMT). No. of bitstreams: 1 Pires_LeoSantana_M.pdf: 9313372 bytes, checksum: a9469afaba08752e7ef419dc781fe926 (MD5) Previous issue date: 2005
Resumo: Uma aproximação unificada para projeto e controle de manipuladores robóticos que retenha todas as não linearidades inerentes na dinâmica é desenvolvido para uma configuração robô-motor considerado como um sistema interagente. Este projeto de sistema interagente, baseado no modelo de teoria de controle de desacoplagem não-linear de Beekmann, desacopla a configuração robô-motor para os subsistemas robô, motor e interação cm série. Esta aproximação está em contraste ao tratamento convencional do motor como uma pura fonte dc torque c o negligenciamento da interação dinâmica entre a junta do robô e o motor, e ao desconsiderar a formulação não-linear
Abstract: A unified approach to a robotic controI design, which retains all the nonlinearities inherent in the dynamics, is developed for the motor-robot configuration considered as an imeracting system. This control system design, based on the Beekmann model's nonlinear decoupling control theory with arbitrary pole placement, decouples the motor-robot configuration into robot, motor, and series compliance (interaction) subsystems. This approch is in contrast to the conventional treatment of the motor as apure torque source and the neglect of dynamic interactions between the robot joint and the motor drive mechanism and not consider the nonlinear formulation
Mestrado
Projeto Mecanico e Mecanica dos Solidos
Mestre em Engenharia Mecânica
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Kim, Sung-Phil. "Design and analysis of optimal decoding models for brain-machine interfaces." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010077.

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Books on the topic "Robots"

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Tracy, Gibson, ed. Real world robots. Glebe, N.S.W: Blake Education, 2003.

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L, Jones Joseph. Mobile robots: Inspiration to implementation. 2nd ed. Natick, Mass: A.K. Peters, 1999.

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illustrator, Staake Bob 1957, ed. Robots, robots, everywhere! New York: Random House, 2014.

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illustrator, Staake Bob 1957, ed. Robots, robots everywhere! New York: Golden Books, 2013.

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Robots 12 and Vision '88 Conference (1988 Detroit, Mich.). Robots 12 and Vision '88 Conference. Dearborn, Mich: Society of Manufacturing Engineers, 1988.

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Sethu, Vijayakumar, ed. Robots. New York, New York: Dorling Kindersley, 2018.

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Lepora, Nathan. Robots. New York, New York: Dorling Kindersley, 2018.

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Karstedt, Klaus. Positionsbestimmung von Objekten in der Montage- und Fertigungsautomatisierung. Berlin: Springer-Verlag, 1990.

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Miles, Pete. Robot Sumo: The official guide. Berkeley, Calif: McGraw-Hill/Osborne, 2002.

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Artell, Mike. Robots. Carlsbad, Calif: Dominie Press, Inc., 2003.

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Book chapters on the topic "Robots"

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Lima, Pedro U., and Ana Paiva. "Autonomous and Intelligent Robots: Social, Legal and Ethical Issues." In Multidisciplinary Perspectives on Artificial Intelligence and the Law, 127–40. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-41264-6_7.

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AbstractThe word “robot” was used for the first time in 1921 by the Czech writer Karel Čapek, who wrote a play called R.U.R. (“Rosumovi Univerzální Roboti”), featuring a scientist who develops a synthetic organic matter to make “humanoid autonomous machines”, called “robots”. These so called “robots” were supposed to act as slaves and obediently work for humans. Over the years, as real “robots” actually began to be built, their impact on our lives, our work and our society, has brought many benefits, but also raised some concerns. This paper discusses some of the areas of robotics, its advances, challenges and current limitations. We then discuss not only how robots and automation can contribute to our society, but also raise some of the social, legal and ethical concerns that robotics and automation can bring.
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Brecher, Christian, and Manfred Weck. "Robots and Robot Controllers." In Machine Tools Production Systems 3, 533–603. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34622-5_13.

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Ibekwe, Henry I., and Ali K. Kamrani. "Robotics and Autonomous Robots." In Collaborative Engineering, 173–206. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-47321-5_9.

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Busulwa, Richard. "Robots and Robotics Primer." In Navigating Digital Transformation in Management, 393–404. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003254614-29.

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Vigneron, Henri. "Robots." In Computer Chess Compendium, 273–78. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4757-1968-0_26.

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Sleasman, Michael. "Robots." In Encyclopedia of Global Bioethics, 1–14. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-05544-2_389-1.

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Webb, Stephen. "Robots." In All the Wonder that Would Be, 203–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51759-9_8.

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Maras, Marie-Helen. "Robots." In Encyclopedia of Security and Emergency Management, 1–3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-69891-5_30-1.

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Bakpayev, Marat. "Robots." In The Routledge Handbook of Digital Consumption, 139–51. 2nd ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003317524-14.

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Sleasman, Michael. "Robots." In Encyclopedia of Global Bioethics, 2579–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-09483-0_389.

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Conference papers on the topic "Robots"

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Goel, Shivam. "Teaching Robots to Interact with Humans in a Smart Environment." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/906.

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Robotics in healthcare has recently emerged, backed by the recent advances in the field of machine learning and robotics. Researchers are focusing on training robots for interacting with elderly adults. This research primarily focuses on engineering more efficient robots that can learn from their mistakes, thereby aiding in better human-robot interaction. In this work, we propose a method in which a robot learns to navigate itself to the individual in need. The robotic agents' learning algorithm will be capable of navigating in an unknown environment. The robot's primary objective is to locate human in a house, and upon finding the human, the goal is to interact with them while complementing their pose and gaze. We propose an end to end learning strategy, which uses a recurrent neural network architecture in combination with Q-learning to train an optimal policy. The idea can be a contribution to better human-robot interaction.
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Cruz-López, Salvador, Guillermo Manuel Urriolagoitia-Calderón, Beatriz Romero-Ángeles, Guillermo Urriolagoitia-Sosa, Rodrigo Arturo Marquet-Rivera, Rosa Alicia Hernández-Vázquez, and Octavio Alejandro Mastache-Miranda. "Statical Numerical Analysis and Material Optimization of Arthropod-Inspired Hexapod Robots for Disaster Rescue Applications." In The 2023 9th International Conference on Advanced Engineering and Technology. Switzerland: Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-gtcs92.

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The development of arthropod-inspired robotic architecture, modeled after the limbs of insects and other animals, has enabled robots to behave more flexibly and adaptively in different environments. Among these designs, hexapod robots have gained significant attention due to their potential use in disaster rescue scenarios, providing vital support for lifesaving and damage control in emergency situations. This study addresses the numerical analysis of a hexapod robot specifically tailored for use in disaster areas, with a particular focus on the crucial aspect of material optimization. Hexapod robots, equipped with articulated legs that mimic insect-like movements, have shown remarkable success in exploration tasks, especially in navigating hard-to-reach places. The main body of the robot was designed using durable yet lightweight materials to optimize load-bearing capacity for the required equipment and rescue tools. A thorough static numerical analysis was performed to ensure the structural integrity and efficiency of the robot. Finite element simulation programs were used for the static numerical analysis, allowing evaluation of the stresses and deformations to which the robot would be subjected under various loading conditions. The selection of materials played a critical role in improving the robot's performance and survivability during disaster operations. Various materials, including composites and advanced alloys, were tested, and analyzed for their mechanical properties and suitability for harsh conditions. In particular, the resistance of the robot to the impact of a falling cubic reinforced concrete element was investigated by simulating a stone collapse. The results of this study shed light on the influence of materials on the robot's ability to cope with unpredictable and challenging scenarios, ultimately contributing to the development of more robust and reliable Hexapod robots for disaster operations. The results of this research contribute significantly to ongoing advances in robotics technology for disaster operations. By leveraging the unique characteristics of arthropod-inspired Hexapod robots and optimizing their material composition, this study highlights the potential of these mobile devices to revolutionize rescue operations in challenging and hazardous environments, ultimately saving lives and minimizing the impact of disasters.
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Stoffova, Veronika, and Martin Zboran. "CONSTRUCTION AND PROGRAMMING OF ROBOTS IN REAL AND SIMULATION ENVIRONMENT." In eLSE 2021. ADL Romania, 2021. http://dx.doi.org/10.12753/2066-026x-21-100.

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The article is focused on educational robotics - on the construction and programming of robots in school environment. It characterises the forms in which the teaching of work with robotic kit can take place. It also brings the results of research into students? attitudes to work with robotic kits, whether their use has a positive effect on improving students? relationship to programming and technology as such. The work with LEGO MINDSTORMS EV3 robotic kit is described from the point of view of the construction and programming of robots in the extracurricular activity of computer science for pupils of the second primary education stage of elementary school. The article describes how to proceed if a sufficient number of real robotic kits is not available or if full-time form of education is changed to distance form. We also point out how to teach the construction and programming of robots in a simulation environment. We had had previous experience with using Virtual Robotics Toolkits during the present-form learning and therefore we used it in the distance form of teaching as well. This virtual kit allows to construct and program robots LEGO Mindstorms in 3D environment, which simulated various problem situations. Pupils can construct robot models at home in LEGO Digital Designer software using virtual blocks and then use Virtual Robotics Toolkits to continue working with the robot and control it by program. It replaces the use of physical models. It is a full-featured replacement of programming real robot kits. In the article we report on our experience in the construction and programming of robots in both full-time and distance forms of teaching.
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Jiang, Yuqian. "Planning and Reinforcement Learning for General-Purpose Service Robots." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/679.

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Despite recent progress in AI and robotics research, especially learned robot skills, there remain significant challenges in building robust, scalable, and general-purpose systems for service robots. This Ph.D. research aims to combine symbolic planning and reinforcement learning to reason about high-level robot tasks and adapt to the real world. We will introduce task planning algorithms that adapt to the environment and other agents, as well as reinforcement learning methods that are practical for service robot systems. Taken together, this work will make a significant step towards creating general-purpose service robots.
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Bartoli, Eric, Jean Michel Munoz, Gregoire Audouin, and Gildas Collin. "Implementation of Autonomous Ground Robots on Operational Sites." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211242-ms.

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Abstract One of the missions of the TotalEnergies’ R&D is to pave the way for tomorrow's simpler, streamlined and less expensive facilities. The vision is focused on unmanned installations in which autonomous ground robots are key components. In 2017, the ARGOS (Autonomous Robots for Gas and Oil Sites) Challenge delivered the first prototype of a new generation of autonomous, ATEX-compliant ground robots capable of detecting anomalies. Based on this success, TotalEnergies started a few projects with the aim to introduce and standardize robotics on O&G sites. The first project is the development of a series of autonomous robots, designed to withstand the rough O&G environment for long durations: an inspection robot and an operator robot. The second project is the adaptation of the standard methods of engineering operations for green-field developments as well as preparing the implementation of robots on brownfields. The third one is the development of a specific environment to remotely supervise a fleet of robots operating simultaneously on a same site. A major take away for the success of robotics implementation is increasing the technological readiness as well as usability and acceptance of the whole robotics operation system. This can be verified only through exposure to users in a realistic environment. After each major development, their proper achievement is measured following a robust process of observation in different contexts. An incremental approach for trials was implemented from testing in specific laboratory conditions up to long duration pilots on major installations under the custody of the future users. Those complex tests are a tremendous source of deep insight in understanding robotic operations and allowing the research to be pushed further towards a more practical solution for the petroleum industry. The presentation will highlight the first tangible results from the operational implementation and prototypes testing of robots and the readiness of robotics for Oil and Gas. The experience gained by TotalEnergies in developing Robotics Operations through testing it extensively in various industrial contexts, represents a unique case with this large scale of usages. It was already shared with some of our peers and this paper is a great opportunity to expose to the Oil and Gas industry to our vision of how to prepare the future of unmanned, safe and environmentally friendly operations.
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Barakat, Nael. "The Ultimate Experience in Learning Robotics: Building Robots in a Robotics Course." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67003.

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Most engineering schools currently include a curriculum component that introduces students to the field of robotics. Multiple methods and techniques are used by engineering educators to help students gain familiarity and interest in robotic systems and their applications. However, very rarely the students get the opportunity to gain the ultimate experience of applying acquired knowledge of the field through building an actual robot. This is because building a robot during a college course involves multiple challenges including robotic systems high complexity and the requirement of combining multiple knowledge bases. Students studying robotics end up, at the most, programming purchased robots, or simulating robots using software, but not actually going through the realities and challenges of putting the system together and making it functional to the point of experimenting with it. In this paper, a unique experience in learning robotic systems and building actual robots is presented. This experience is made available in an elective course on robotic systems engineering at Grand Valley State University (GVSU), School of Engineering (SOE). The produced robots are two or three jointed arm configuration robots, controlled by a programmable microcontroller and built based on classroom gained knowledge. In the classroom, the students learn the kinematics and simplified dynamics of robots, as well as other related topics. In the laboratory, the students are required to apply the learned concepts of kinematics and design in combination with control systems to build a robot that will help them understand and demonstrate these concepts. The course final projects include robotic systems that are built or integrated by teams of students. These projects provide a range of challenges that extends from mechanical design to control systems. The projects are taken up by teams of students having diversified interests and skill bases within the course. The final outcomes of the course are working robotic systems that can demonstrate the students’ knowledge and interest, which the students use significantly as a proof of their competence level when putting together their resumes to move into the next level of their careers. From an educational angle, the course provides the students with an opportunity to combine multiple knowledge sets, skills, and interest to gain the ultimate experience in education: producing a functional system to specifications.
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Rabb, Ethan, Isaac Hagberg, Alex Murphy, Steven Butts, Skander Guizani, John Rogers, Joseph L. Heyman, and Steven Crews. "Multi-Tiered Safety for Dynamic Autonomous Warehouse Robots." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95985.

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Abstract The purpose of this project is to safely integrate robots and humans into industrial processes. The most prevalent current solution to the problem of safe integration of robots and humans is to place the robots in cages to separate the workspaces of humans and robots. The cages prevent humans from entering the robot’s workspace and prevent any contact between the two entities. However, cages present an inefficiency in the industrial process as they require additional space and do not allow a seamless integration of robots and humans. This paper proposes a multi-tiered safety system that combines vision and torque feedback safety measures that can stop robot movement. The vision safety system proposed detects foreign movement in the camera frame and stops the robot’s motion. The torque system proposed detects unexpected torques in the robot’s motors and stops the robot’s motion. The results show that both safety systems can effectively stop robot motion if an unsafe condition is detected. For the industrial process of interest, the multi-tiered safety system is expected to lay the foundation for future integration of humans and robots on the industrial process. Contributions to the academic community for this paper are a multi-tiered safety system for robots in industrial processes, a machine learning circle detection algorithm, and a novel end-of-arm-tooling (EOAT) for the industrial process of interest.
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Wu, Bin, and C. Steve Suh. "Decentralized Multi-Robot Motion Planning Applicable to Dynamic Environment." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10788.

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Abstract Multi-robots navigation in dynamic environment is a promising topic in intelligent robotics with motion planning being one of the fundamental problems. However, in practicel, multi-robots motion planning is challenging with traditional centralized approach since computational demand makes it less practical and robust for the motion planning of a large number of robots. In this paper, a decentralized distribute robots motion planning framework (DDRMPF) is discussed which addresses the specific issue. DDRMPF directly maps raw sensor data to steering command to generate optimal paths for each constituent robot. Unlike centralized method which needs a complete observation along with a center agent which processes heavy data collected from all the robots, DDRMPF allows each agent to generate an optimal local path needing only partial observation, thus rendering motion planning involving large numbers of robots more practical and robust. DDRMPF trains the policy for each robot in the complex and dynamic environment simultaneously based on the reinforcement algorithm.
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Gombolay, Matthew. "Human-Robot Alignment through Interactivity and Interpretability: Don't Assume a ``Spherical Human''." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/976.

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Interactive and interpretable robot learning can help to democratize robots, placing the power of assistive robotic systems in the hands of end-users. While machine learning-based approaches to robotics have achieved impressive results, robot learning is still a feat of costly engineering performed in controlled settings and relying upon impractical assumptions about humans. To achieve a vision in which robots can be integrated sustainably into our daily lives for robotic assistance, researchers must take a human-centered approach and develop novel approaches for human-robot alignment of robot values and behaviors. This paper amalgamates recent human factors insights and computational techniques that can support human-robot alignment through interactive and interpretable robot learning and teaming.
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Alabdullah, Basma, Athanasios Diamantopoulos, Alejandro Granados, and Lukas Lindenroth. "Effect of Reconfiguration on the Workspace and Stiffness of a Parallel, Fluid-driven Soft Robotic Mechanism." In The Hamlyn Symposium on Medical Robotics, 129–30. The Hamlyn Centre Imperial College London, 2024. http://dx.doi.org/10.31256/hsmr2024.65.

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Soft robots have shown great promise across a wide range of clinical procedures, such as colonoscopy and catheterization [1]. In contrast with traditional rigid robots, soft robots exhibit compliance and thus have the potential to reduce harm that could inadvertently be caused by the robot during surgery. Moreover, soft robots are able to reach confined spaces due to their ability to twist and bend with high curvature [2]. Despite their advantages, the deformation of a soft robot, which is leveraged to generate motion, significantly affects its mechanical characteristics. This is particularly the case for the stiffness of a soft robot, which varies across its workspace [3][4]. This variation introduces profound control challenges and limits performance [3]. To ad- dress this challenge, researchers have steered towards the development of variable stiffness mechanisms which are typically embedded in the structure of the soft robot. Despite the success of these methods, they are often difficult to fabricate and integrate into existing systems. As an alternative to embedding stiffening mechanisms, stiffness variation can be achieved by adjusting the geometry or topology of the robotic device. This has been successfully demonstrated for rigid robots across a number of research works, for instance by Simaan et al. [5] for a double planar parallel robot where the robot’s stiffness is tuned by adjusting the legs’ location across a fixed platform. To-date, such approaches have only been applied in rigid robotic systems [6].
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Reports on the topic "Robots"

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Kaplan, David, and Barry Trimmer. BioComponent Robots. Fort Belvoir, VA: Defense Technical Information Center, February 2014. http://dx.doi.org/10.21236/ada617664.

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HENSINGER, DAVID M., GABRIEL A. JOHNSTON, ELAINE M. HINMAN-SWEENEY, JOHN T. FEDDEMA, and STEVEN E. ESKRIDGE. Self-Reconfigurable Robots. Office of Scientific and Technical Information (OSTI), October 2002. http://dx.doi.org/10.2172/805834.

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Kirchner, Frank. Terrestrial Ambulatory Robots. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada417177.

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Koster, M., G. Illyes, H. Zeller, and L. Sassman. Robots Exclusion Protocol. RFC Editor, September 2022. http://dx.doi.org/10.17487/rfc9309.

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Simmons, Reid, Allison Bruce, Dani Goldberg, Adam Goode, Alan Schultz, William Adams, Ian Horswill, David Kortenkamp, Bryn Wolfe, and Bruce Maxwell. GRACE and GEORGE: Autonomous Robots for the AAAI Robot Challenge. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada434971.

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Quinn, Roger, Roy Ritzmann, Stephen Phillips, Randall Beer, Steven Garverick, and Matthew Birch. Biologically-Inspired Micro-Robots. Volume 1. Robots Based on Crickets. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada434047.

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Arkin, Ronald C. Ethical Robots in Warfare. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada493429.

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Guerreiro, Joao, Sergio Rebelo, and Pedro Teles. Should Robots be Taxed? Cambridge, MA: National Bureau of Economic Research, September 2017. http://dx.doi.org/10.3386/w23806.

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Kneram, Mark S. Enabling Soldiers with Robots. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada561562.

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Leonard, John J. Cooperative Autonomous Mobile Robots. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada463215.

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