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Journal articles on the topic 'Dog as robot'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Finkbeiner, Kristin M., and William S. Helton. "“What an Emotionless Robot!”: Visuomotor Priming from Video Stimuli Influences Emotion Recognition." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 194–98. http://dx.doi.org/10.1177/1071181322661057.

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Viewing people and other animals elicits social and emotional processes. Similarly, robots are sometimes seen as social agents, but limited emotion-priming research for robots exists. Fifty-nine participants completed three sessions of an emotion recognition task, primed with a dog, robot or random motion (control) video. There was no significant effect from exposure to dog videos (or control) on emotional recognition; however, participants performed significantly worse following robot exposure. A follow-up study of 184 participants) included new videos of all stimuli. Similarly, no significant effects occurred after dog exposure, but robot priming decreased performance. Robot priming appears to worsen emotion recognition, which is interesting. This may be due to motor resonance priming - mimicking observed behavior and actions - or due to pre-existing stereotypes of robots and perceived experimental demands. Further studies should include controlled variations of all videos and live interactions to compare priming effects on emotion recognition.

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Adachi, Yoshinobu, and Masayoshi Kakikura. "Research on the Sheepdog Problem Using Cellular Automata." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 9 (November 20, 2007): 1099–106. http://dx.doi.org/10.20965/jaciii.2007.p1099.

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The simulation framework we propose for complex path planning problems with multiagent systems focuses on the sheepdog problem for handling distributed autonomous robot systems – an extension of the pursuit problem for handling one prey robot and multiple predator robot. The sheepdog problem involves a more complex issue in which multiple dog robot chase and herd multiple sheep robot. We use the Boids model and cellular automata to model sheep flocking and chase and herd behavior for dog robots. We conduct experiments using a Sheepdog problem simulator and study cooperative behavior.

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Morooka, Yukio, and Ikuo Mizuuchi. "Gravity Compensation Modular Robot: Proposal and Prototyping." Journal of Robotics and Mechatronics 31, no. 5 (October 20, 2019): 697–706. http://dx.doi.org/10.20965/jrm.2019.p0697.

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If a robot system can take various shapes, then it can play various roles, such as humanoid, dog robot, and robot arm. A modular robot is a robot system in which robots are configured using multiple modules, and it is possible to configure robots of other shapes by varying the combinations of the modules. In conventional modular robots, the shape is restricted by gravity, and configurable shapes are limited. In this study, we propose a gravity compensation modular robot to solve this problem. This paper describes the design and prototyping of the gravity compensation modular robot, and provides examples of robot shapes configured using the gravity compensation modules and motion experiments of the robots. In the experiments, there were motions that the robots could perform and could not perform. We considered the lack in the gravity compensation level and module rigidity as the main factor of the failures. This paper also discusses the solutions to these problems.

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Huynh, Phu Duc, and Tuong Quan Vo. "An application of genetic algorithm to optimize the 3-Joint carangiform fish robot’ s links to get the desired straight velocity." Science and Technology Development Journal 18, no. 1 (March 31, 2015): 27–36. http://dx.doi.org/10.32508/stdj.v18i1.920.

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Biomimetic robot is a new branch of researched field which is developing quickly in recent years. Some of the popular biomimetic robots are fish robot, snake robot, dog robot, dragonfly robot, etc. Among the biomimetic underwater robots, fish robot and snake robot are mostly concerned. In this paper, we study about an optimization method to find the design parameters of fish robot. First, we analyze the dynamic model of the 3-joint Carangiform fish robot by using Lagrange method. Then the Genetic Algorithm (GA) is used to find the optimal lengths’ values of fish robot’s links. The constraint of this optimization problem is that the values of fish robot’s links are chosen that they can make fish robot swim with the desired straight velocity. Finally, some simulation results are presented to prove the effectiveness of the proposed method

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Wang, Jun, Chuan Hu, and You Tong Zhang. "Energy Saving Matching of Power Equipment for Four-Footed Robot Dog." Advanced Materials Research 986-987 (July 2014): 1222–25. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1222.

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To increase the flexibility performance of robot dog, dynamic performance matching of power equipment in four-footed robot dog is made. Demand for power and configure in robot dog power equipment is briefly analyzed, improved backward power match between gasoline and pump is presented, power and flow rate match between gasoline and pump is calculated, control strategy based on pump pressure feedback is applied into gasoline engine control in order to save energy. With experimental bench test, experimental results showed that energy saving matching of power equipment can meet the requirement of fast dynamic meditation for robot dog .

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6

Doi, Toshi T. "Dog-oid Robot AIBO and New Robot Industry." Journal of the Robotics Society of Japan 30, no. 10 (2012): 1000–1001. http://dx.doi.org/10.7210/jrsj.30.1000.

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de Visser, Ewart J., Yigit Topoglu, Shawn Joshi, Frank Krueger, Elizabeth Phillips, Jonathan Gratch, Chad C. Tossell, and Hasan Ayaz. "Designing Man’s New Best Friend: Enhancing Human-Robot Dog Interaction through Dog-Like Framing and Appearance." Sensors 22, no. 3 (February 8, 2022): 1287. http://dx.doi.org/10.3390/s22031287.

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To understand how to improve interactions with dog-like robots, we evaluated the importance of “dog-like” framing and physical appearance on interaction, hypothesizing multiple interactive benefits of each. We assessed whether framing Aibo as a puppy (i.e., in need of development) versus simply a robot would result in more positive responses and interactions. We also predicted that adding fur to Aibo would make it appear more dog-like, likable, and interactive. Twenty-nine participants engaged with Aibo in a 2 × 2 (framing × appearance) design by issuing commands to the robot. Aibo and participant behaviors were monitored per second, and evaluated via an analysis of commands issued, an analysis of command blocks (i.e., chains of commands), and using a T-pattern analysis of participant behavior. Participants were more likely to issue the “Come Here” command than other types of commands. When framed as a puppy, participants used Aibo’s dog name more often, praised it more, and exhibited more unique, interactive, and complex behavior with Aibo. Participants exhibited the most smiling and laughing behaviors with Aibo framed as a puppy without fur. Across conditions, after interacting with Aibo, participants felt Aibo was more trustworthy, intelligent, warm, and connected than at their initial meeting. This study shows the benefits of introducing a socially robotic agent with a particular frame and importance on realism (i.e., introducing the robot dog as a puppy) for more interactive engagement.

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Tholley, Ibrahim S., Qing Gang Meng, and Paul W. H. Chung. "Robot Dancing: What Makes a Dance?" Advanced Materials Research 403-408 (November 2011): 4901–9. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4901.

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In this paper, we investigate the mechanics of dance for humans that can be applied to robots, in an attempt to make dancing robots learn the fundamentals of dance, and improve their dancing. We provide a conceptual definition of ‘dance’ and ‘movement’ to make robot dancers form their own movements to music. We used a virtual robot dog to experiment on our conceptual definitions, and human subjects to give their feedback on the robot’s dancing. Experimental results show that the robot learns (using reinforcement learning) our conceptual definition of ‘dance’ and that a dance that has structure and fundamental joint movements, improves the dancing.

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9

Zhang, Xiya. "Young children’s empathy towards robot dog in relative to stuffed toy dog." SHS Web of Conferences 153 (2023): 01012. http://dx.doi.org/10.1051/shsconf/202315301012.

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This study examined young children’s empathy towards interacted entity and none interacted agent, and whether the interaction or the appearance of the agent is more relevant on children’s the empathy, the entities include an interacted robot, a stuffed toy dog and a stone. Preschoolers (5-6 years of age, N=69) watched videos of three agents, including agent introducing cuts, agent struck by human hands cuts, agent placing in a box struck by human hands cuts. All of these three agents are non-living entities, an interacted robot dog with metal surface, a non-interacted stuffed toy dog (appearance alike a real dog), a stone. The preschoolers were required to ask a list of questions to obtain the data indicating their empathy towards each agent. The results revealed that the young children ascribe more anthropomorphism to robot dog relative to stuffed toy dog, while the empathy to both have no significance difference.

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10

Wang, Jun, Lian He, and You Tong Zhang. "Power Equipment Control in Four-Footed Bearing-Burden Robot Dog." Applied Mechanics and Materials 513-517 (February 2014): 3328–31. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3328.

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To meet the control demand of power equipment in robot dog, development on control system for robot dog is made. Based on the brief analysis of demand in power and configure in power assembly of robot dog, whole design sketch of control system for power is presented, electronic control system based on MC9S12DP512 microprocessor and neural control algorithm for network structure PID is found. Control algorithm and control effect of control system is verified in experimental bench, experimental results showed that designed control system control effect is stable and it can meet the design requirement in transient speed adjusting and stable speed fixing.

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Bradwell, Hannah Louise, Katie Edwards, Deborah Shenton, Rhona Winnington, Serge Thill, and Ray B. Jones. "User-Centered Design of Companion Robot Pets Involving Care Home Resident-Robot Interactions and Focus Groups With Residents, Staff, and Family: Qualitative Study." JMIR Rehabilitation and Assistive Technologies 8, no. 4 (November 1, 2021): e30337. http://dx.doi.org/10.2196/30337.

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Background Globally, pressure is increasing on health and social care resources due to the aging population and growing prevalence of dementia. Companion robots, such as Paro, demonstrate strong potential for helping reduce this pressure through reported benefits including reduced agitation, depression, loneliness, care provider burden, and medication use. However, we previously identified that user-centered design of robot pets is both essential and understudied. We observed that commonly used robot pets are poorly matched to end-user requirements, and that end users and developers of robot pets differ significantly in their perception of appropriate design. This may explain some of the contradictory outcome research and variance in results for robot pets, such as Paro. Objective In response to the literature gap, we aimed to provide user-centered insights into the design of robot pets from key stakeholders to inform future robot development and the choice of robots for real-world implementation and research. We focused on understanding user requirements. Methods We conducted a qualitative study with 65 participants from 5 care homes (26 care home residents, 29 staff members. and 10 family members). Care home residents formed groups of between 3 and 4 individuals and experienced free interactions with a range of 8 companion robots and toys, including Paro and more affordable alternatives. The robots provided had a range of esthetics, shell types, interactivity levels, and designs for comparison. Care staff and family members observed the interactions. All participants then engaged in focus groups within their stakeholder category to discuss preferences and user requirements in companion robot design. Both free interactions and focus groups were video and audio recorded, transcribed, and subjected to thematic analysis. Results Care home residents, family members, and staff were open and accepting of the use of companion robot pets, with the majority suggesting that they would keep a device for themselves or the residents. The most preferred device was the Joy for All cat, followed by the Joy for All dog. In discussions, the preferred design features included familiar animal embodiment (domestic pet), soft fur, interactivity, big appealing eyes, simulated breathing, and movements. Unfamiliar devices were more often seen as toy-like and suitable for children, producing some negative responses. Conclusions This work provides important and user-centered insights into future robot designs for care home residents by means of a comprehensive comparison with key stakeholders. This work strongly supports the use of familiar embodiment in future robot pet designs, with domestic cat and dog morphologies appearing most acceptable. The results have implications for future robot designs and the selection of robot pets for both research and real-world implementations.

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Han, Congcong, Ming Yu, Hengyuan Pan, and Jinhao Yu. "About the design of a new bionic robot with four legs for competition." MATEC Web of Conferences 336 (2021): 03003. http://dx.doi.org/10.1051/matecconf/202133603003.

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In order to solve the stable walking and tracking of the bionic mammalian four-legged mechanical dog, the paper introduces the mechanical structure and robot control, adopts the tandem rod structure and the new vision processing algorithm, and realizes the stable movement of the robot. The recognition and processing technology of track information image is improved, so that the four-legged bionic robot moves forward accurately along the given track, and the tracking function of the four-legged bionic mechanical dog is realized.

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13

Doi, Satoshi, and Manabu KOSAKA. "1403 Locomotion control for guide dog robot." Proceedings of Conference of Kansai Branch 2007.82 (2007): _14–3_. http://dx.doi.org/10.1299/jsmekansai.2007.82._14-3_.

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14

Shao, Haiyan, Qingshuai Zhao, Bin Chen, Xiankun Liu, and Zhiquan Feng. "Analysis of Position and State Estimation of Quadruped Robot Dog Based on Invariant Extended Kalman Filter." International Journal of Robotics and Automation Technology 9 (August 30, 2022): 17–25. http://dx.doi.org/10.31875/2409-9694.2022.09.03.

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Abstract: Compared with the state estimation of quadruped robots based on external sensors such as camera and lidar, the state estimation based on body sensors can provide high-frequency and stable odometer estimation. By analyzing the state estimation methods of the legged robot based on the body sensor, the invariant extended Kalman filter (IEKF) based on the body sensor is determined to conduct the state estimation analysis of the quadruped robot. Through various path tracking experiments in simulation and real environment, the influence of travel speed, travel distance and different steering angles on the position state estimation results was analyzed, and the IEKF model was optimized by compensating the angular velocity. Experiments show that within the set speed range, after adding angular velocity compensation, the position estimation accuracy error of the robot dog is well controlled and is less than 1%.

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15

Sun, Qun, Chong Wang, Dongjie Zhao, and Cuihua Zhang. "Cam Drive Step Mechanism of a Quadruped Robot." Journal of Robotics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/851680.

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Bionic quadruped robots received considerable worldwide research attention. For a quadruped robot walking with steady paces on a flat terrain, using a cam drive control mechanism instead of servomotors provides theoretical and practical benefits as it reduces the system weight, cost, and control complexities; thus it may be more cost beneficial for some recreational or household applications. This study explores the robot step mechanism including the leg and cam drive control systems based on studying the bone structure and the kinematic step sequences of dog. The design requirements for the cam drive robot legs have been raised, and the mechanical principles of the leg operating mechanism as well as the control parameters have been analyzed. A cam drive control system was constructed using three cams to control each leg. Finally, a four-leg demo robot was manufactured for experiments and it showed stable walking patterns on a flat floor.

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Sinatra, Anne M., Valerie K. Sims, Matthew G. Chin, and Heather C. Lum. "If it looks like a dog." Interaction Studies 13, no. 2 (May 7, 2012): 235–62. http://dx.doi.org/10.1075/is.13.2.04sin.

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This study was designed to compare the natural free form communication that takes place when a person interacts with robotic entities versus live animals. One hundred and eleven participants interacted with one of four entities: an AIBO robotic dog, Legobot, Dog or Cat. It was found that participants tended to rate the Dog as more capable than the other entities, and often spoke to it more than the robotic entities. However, participants were not positively biased toward live entities, as the Cat often was thought of and spoken to similarly to the AIBO robot. Results are consistent with a model in which both appearance and interactivity lead to the development of beliefs about a live or robotic entity in an interaction. Keywords: Human-robot interaction; human-animal interaction; AIBO; free form communication; attributions; human-entity interaction

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Faragó, Tamás, Márta Gácsi, Beáta Korcsok, and Ádám Miklósi. "Why is a dog-behaviour-inspired social robot not a doggy-robot?" Interaction Studies 15, no. 2 (August 20, 2014): 224–32. http://dx.doi.org/10.1075/is.15.2.11far.

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18

JIANG, Ming. "Mechanism Architecture of Hybrid Serial-parallel Robot Dog." Journal of Mechanical Engineering 48, no. 01 (2012): 19. http://dx.doi.org/10.3901/jme.2012.01.019.

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Al-Raziqi, Ali, Mahesh Venkata Krishna, and J. Denzler. "Detection of dog-robot interactions in video sequences." Pattern Recognition and Image Analysis 26, no. 1 (January 2016): 45–53. http://dx.doi.org/10.1134/s1054661816010028.

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20

Tachi, Susumu, Kazuo Tanie, Kiyoshi Komoriya, and Minoru Abe. "Electrocutaneous Communication in a Guide Dog Robot (MELDOG)." IEEE Transactions on Biomedical Engineering BME-32, no. 7 (July 1985): 461–69. http://dx.doi.org/10.1109/tbme.1985.325561.

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21

Rutkin, Aviva. "Robot sniffer dog goes hunting for gas leaks." New Scientist 222, no. 2972 (June 2014): 21. http://dx.doi.org/10.1016/s0262-4079(14)61104-0.

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Tang, Zhao, Peng Qi, and Jian Dai. "Mechanism design of a biomimetic quadruped robot." Industrial Robot: An International Journal 44, no. 4 (June 19, 2017): 512–20. http://dx.doi.org/10.1108/ir-11-2016-0310.

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Purpose This paper aims to introduce a novel design of the biomimetic quadruped robot, including its body structure, three structural modes and respective workspace. Design/methodology/approach By taking a metamorphic 8-bar linkage as the body of a quadruped robot, the authors propose a reconfigurable walking robot that can imitate three kinds of animals: mammals (e.g. dog), arthropods (e.g. stick insect) and reptiles (e.g. lizard). Furthermore, to analyze the three structural modes of this quadruped robot, the workspace is calculated and studied. Findings Based on experimental data analyses, it is revealed that the metamorphic quadruped robot can walk in all its three structural modes and adapt to different terrains. Research limitations/implications Because the body of the quadruped robot is deformable and reconfigurable, the location of payload is not considered in the current stage. Practical implications The relative positions and postures of legs of the metamorphic robot can be rearranged during its body reconfiguration in such a way to combine all the features of locomotion of the three kinds of animals into one robot. So, the metamorphic quadruped robot is capable of maintaining wider stability margins than conventional rigid-body quadruped robots and conducting operations in different environments, particularly the extreme and restricted occasions due to the changeable and adaptable trunk. Originality/value The main contribution is the development of a reconfigurable biomimetic quadruped robot, which uses the metamorphic 8-bar linkage. This robot can easily reshape to three different structural modes and mimic the walking patterns of all mammals, arthropods and reptiles.

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Moses, Jeremy, and Geoffrey Ford. "See Spot save lives: fear, humanitarianism, and war in the development of robot quadrupeds." Digital War 2, no. 1-3 (November 24, 2021): 64–76. http://dx.doi.org/10.1057/s42984-021-00037-y.

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AbstractBoston Dynamics’ robotic quadrupeds have achieved infamy and virality through a series of social media videos since 2008. In 2019 Boston Dynamics began commercial sale of ‘Spot’, a moving, sensing, networked robot dog. Spot has been designed to be a platform, which can be augmented with hardware payloads (e.g. sensors, robotic arm) and software to command Spot to conduct specific missions. In this paper we first trace the development of Spot and highlight the interest of the United States military in its development. This is followed by our text analysis of social media reactions to Boston Dynamics’ quadrupeds, revealing public fascination as well as ongoing suspicion and dark humour about ‘killer robots’. We then discuss how humanitarian applications, including in response to the COVID-19 pandemic, have been used as an opportunity to promote Spot and overcome public negativity. This is an example of a more general strategy advocates use to garner acceptance for autonomous robots in both civilian and military roles using humanitarian justifications: the robots ‘save lives.’ We conclude by discussing how Spot and other robot quadrupeds demonstrate the intertwining of humanitarian and military applications in the development, normalization and deployment of autonomous robots.

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Sparkes, Matthew. "Robot guide dog could help people who are blind." New Scientist 250, no. 3329 (April 2021): 17. http://dx.doi.org/10.1016/s0262-4079(21)00596-0.

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황근영, 윤현달, and KIM GUN IN. "A Sensitivity Analysis of Dog-Horse Robot Using AWAM." Korean Journal of Military Art and Science 67, no. 2 (August 2011): 345–58. http://dx.doi.org/10.31066/kjmas.2011.67.2.014.

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Shi, Yunde, Shilin Li, Mingqiu Guo, Yuan Yang, Dan Xia, and Xiang Luo. "Structural Design, Simulation and Experiment of Quadruped Robot." Applied Sciences 11, no. 22 (November 12, 2021): 10705. http://dx.doi.org/10.3390/app112210705.

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This paper carried out a series of designs, simulations and implementations by using the physical-like mechanism of a bionic quadruped robot dog as a vehicle. Through an investigation of the walking mechanisms of quadrupeds, a bionic structure is proposed that is capable of omnidirectional movements and smooth motions. Furthermore, the kinematic and inverse kinematic solutions based on the DH method are explored to lay the foundation for the gait algorithm. Afterward, a classical compound pendulum equation is applied as the foot-end trajectory and inverse kinematic solutions are combined to complete the gait planning. With appropriate foot–ground contact modeling, MATLAB and ADAMS are used to simulate the dynamic behavior and the diagonal trot gait of the quadruped robot. Finally, the physical prototype is constructed, designed and debugged, and its performance is measured through real-world experiments. Results show that the quadruped robot is able to balance itself during trot motion, for both its pitch and roll attitude. The goal of this work is to provide an affordable yet comprehensive platform for novice researchers in the field to study the dynamics, contact modeling, gait planning and attitude control of quadruped robots.

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Fukuoka, Y., and H. Kimura. "Dynamic Locomotion of a Biomorphic Quadruped ‘Tekken’ Robot Using Various Gaits: Walk, Trot, Free-Gait and Bound." Applied Bionics and Biomechanics 6, no. 1 (2009): 63–71. http://dx.doi.org/10.1155/2009/743713.

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Numerous quadruped walking and running robots have been developed to date. Each robot walks by means of a crawl, walk, trot or pace gait, or runs by means of a bound and/or gallop gait. However, it is very difficult to design a single robot that can both walk and run because of problems related to mechanisms and control. In response to this, we adapted a biological control method for legged locomotion in order to develop a dog-like quadruped robot we have named ‘Tekken’. Tekken has a control system that incorporates central pattern generators, reflexes and responses as well as a mechanism that makes the most of the control system. Tekken, which is equipped with a single mechanism, an unchangeable control method, and modifiable parameters, is capable of achieving walking and trotting on flat terrain, can walk using a free gait on irregular terrain, and is capable of running on flat terrain using a bounding gait. In this paper, we describe the mechanism, the control method and the experimental results of our new development.

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Jacobs, Trent. "What To Expect When You’re Expecting Robots." Journal of Petroleum Technology 73, no. 08 (August 1, 2021): 22–29. http://dx.doi.org/10.2118/0821-0022-jpt.

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The market turmoil of 2020 left the upstream industry with diminished ranks, palpable concerns over long-term demand, and mounting pressure to reduce its carbon footprint. This made for what many consider a bullish case, as JPT has reported, for robotics uptake over the course of the decade. But there are reasons to temper expectations. After all, this is the oil and gas industry. The upstream land-scape is as vast as it is specialized. Each silo is a fortress of status quo to which robot developers must dedicate significant time and fortune in conquering. Some are worth the battle, especially in the offshore arena where factors of cost and safety have made this the most active corner of oil and gas robotics. Many other use cases may be worth bypassing. About 70% of the world’s oil and gas supply is produced onshore which, of course, is much more accessible to human operators. That means a robot dog in the Permian Basin has to jump over a much higher bar in order to create value than a robot dog tasked with inspecting a platform in the middle of the Norwegian Sea. Speaking of inspection, this is both the chief strength and upper limit for much of the current generation of robots. The next generation will be asked to fix things. And whatever they can’t do - or are just not the right tool for - look for it to be covered by industrial automation. As a new class of oil and gas robots finds its niche, and fights for investment dollars along the way, here are a few developments to track and points to consider. This Time It’s Different, Right Boss? The upstream sector pulled back from exploring the frontier of robotics and drone technologies in the last decade relative to other industries, but it is now being pulled forward by societal and technological shifts, according to Ed Tovar who runs an Austin-based consulting company, InTechSys, that serves the defense and energy industry.

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Henkel, Zachary, Kenna Baugus, Cindy L. Bethel, and David C. May. "User expectations of privacy in robot assisted therapy." Paladyn, Journal of Behavioral Robotics 10, no. 1 (March 26, 2019): 140–59. http://dx.doi.org/10.1515/pjbr-2019-0010.

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AbstractThis article describes ethical issues related to the design and use of social robots in sensitive contexts like psychological interventions and provides insights from one user design study and two controlled experiments with adults and children. User expectations regarding privacy with a therapeutic robotic dog, Therabot, gathered from a 16 participant design study are presented. Furthermore, results from 142 forensic interviews about bullying experiences conducted with children (ages 8 to 17) using three different social robots (Nao, Female RoboKind, Male RoboKind) and humans (female and male) as forensic interviewers are examined to provide insights into child beliefs about privacy and social judgment in sensitive interactions with social robots. The data collected indicates that adult participants felt a therapeutic robotic dog would be most useful for children in comparison to other age groups, and should include privacy safeguards. Data obtained from children after a forensic interview about their bullying experiences shows that they perceive social robots as providing significantly more socially protective factors than adult humans. These findings provide insight into how children perceive social robots and illustrate the need for careful considerationwhen designing social robots that will be used in sensitive contexts with vulnerable users like children.

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Noda, Shintaro, Fumihito Sugai, Kunio Kojima, Kim-Ngoc-Khanh Nguyen, Yohei Kakiuchi, Kei Okada, and Masayuki Inaba. "Semi-Passive Walk and Active Walk by One Bipedal Robot: Mechanism, Control and Parameter Identification." International Journal of Humanoid Robotics 17, no. 02 (February 18, 2020): 2050012. http://dx.doi.org/10.1142/s0219843620500127.

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We developed a bipedal robot equipped with brake and clutch mechanisms to change the number of active and passive joints, thereby enabling various types of movements including normal active walking using 12-dof joints, under-actuated walking using brake, and passive-based walking using clutch and passive joints. In this paper, we describe three technologies to achieve the proposed system and show experimental results on active and semi-passive walking. The first technology comprises a small and high-strength clutch mechanism to sustain the massive weight of life-sized robots using actuators for joint and dog clutch control. The second technology comprises a walking controller using a simulation-based optimization technique to consider passive joint dynamics instead of depending on the inverse kinematics problem, thereby enabling the control of the under-actuated leg. The last technology is model parameter identification to achieve unstable passive-based walking in real-world considering the body as well as environmental parameters such as ground slope. To the best of our knowledge, the proposed robot is the first to achieve both active and passive-based walking using a bipedal body. This enables the implementation of the passive-walking technology to active-joint robots and expands the application possibility of passive joint for bipedal robots.

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Hambling, David. "Robot dog armed with a sniper rifle goes on display." New Scientist 252, no. 3357 (October 2021): 16. http://dx.doi.org/10.1016/s0262-4079(21)01872-8.

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Zamansky, Anna, Stephane Bleuer-Elsner, Sylvia Masson, Shir Amir, and Ofer Magen. "Effects of anxiety on canine movement in dog-robot interactions." Animal Behavior and Cognition 5, no. 4 (November 1, 2018): 380–87. http://dx.doi.org/10.26451/abc.05.04.05.2018.

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TAKEZAWA, Hayato, and Hideo NAKAGAWA. "S151013 Door opening operation of service dog robot moving room." Proceedings of Mechanical Engineering Congress, Japan 2011 (2011): _S151013–1—_S151013–3. http://dx.doi.org/10.1299/jsmemecj.2011._s151013-1.

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Choi, Jungsu. "Multi-Phase Joint-Angle Trajectory Generation Inspired by Dog Motion for Control of Quadruped Robot." Sensors 21, no. 19 (September 24, 2021): 6366. http://dx.doi.org/10.3390/s21196366.

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Quadruped robots are receiving great attention as a new means of transportation for various purposes, such as military, welfare, and rehabilitation systems. The use of four legs enables a robustly stable gait; compared to the humanoid robots, the quadruped robots are particularly advantageous in improving the locomotion speed, the maximum payload, and the robustness toward disturbances. However, the more demanding conditions robots are exposed to, the more challenging the trajectory generation of robotic legs becomes. Although various trajectory generation methods (e.x., central pattern generator, finite states machine) have been developed for this purpose, these methods have limited degrees of freedom with respect to the gait transition. The conventional methods do not consider the transition of the gait phase (i.e., walk, amble, trot, canter, and gallop) or use a pre-determined fixed gait phase. Additionally, some research teams have developed locomotion algorithms that take into account the transition of the gait phase. Still, the transition of the gait phase is limited (mostly from walking to trot), and the transition according to gait speed is not considered. In this paper, a multi-phase joint-angle trajectory generation algorithm is proposed for the quadruped robot. The joint-angles of an animal are expressed as a cyclic basis function, and an input to the basis function is manipulated to realize the joint-angle trajectories in multiple gait phases as desired. To control the desired input of a cyclic basis function, a synchronization function is formulated, by which the motions of legs are designed to have proper ground contact sequences with each other. In the gait of animals, each gait phase is optimal for a certain speed, and thus transition of the gait phases is necessary for effective increase or decrease in the locomotion speed. The classification of the gait phases, however, is discrete, and thus the resultant joint-angle trajectories may be discontinuous due to the transition. For the smooth and continuous transition of gait phases, fuzzy logic is utilized in the proposed algorithm. The proposed methods are verified by simulation studies.

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MATSUDA, Masashi, Takuma ARAGI, Katsuyosi TSUJITA, and Tatsuya MASUDA. "1A1-D18 A guidance locomotion with harnessing of a quadruped robot towards seeing-eye dog robot." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2008 (2008): _1A1—D18_1—_1A1—D18_4. http://dx.doi.org/10.1299/jsmermd.2008._1a1-d18_1.

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Yamanobe, Natsuki, Ee Sian Neo, Eiichi Yoshida, Nobuyuki Kita, Kazuyuki Nagata, Kazuhito Yokoi, and Yosuke Takano. "Integration of Manipulation, Locomotion, and Communication Intelligent RT Software Components for Mobile Manipulator System Using Scenario Tools in OpenRT Platform." Journal of Robotics and Mechatronics 22, no. 3 (June 20, 2010): 322–32. http://dx.doi.org/10.20965/jrm.2010.p0322.

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The OpenRT Platform, an integrated development environment for component-based robot system development, is being constructed in order to enhance intelligent robot research and development efficiency. In this paper, a mobile manipulator system that can bring human indicated objects like a service dog is developed based on the OpenRT Platform. The system works with several components providing manipulation, locomotion, and communication functions developed as examples modularizing intelligent robotic functions. These components are integrated using scenario tools in the OpenRT Platform for achieving target tasks.

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Tanaka, Kyoko, Hitoshi Makino, Kazuaki Nakamura, Akio Nakamura, Maoko Hayakawa, Hajime Uchida, Mureo Kasahara, Hitoshi Kato, and Takashi Igarashi. "The pilot study of group robot intervention on pediatric inpatients and their caregivers, using ‘new aibo’." European Journal of Pediatrics 181, no. 3 (October 30, 2021): 1055–61. http://dx.doi.org/10.1007/s00431-021-04285-8.

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AbstractThe study on robot-assisted therapy in a pediatric field has not been applied sufficiently in clinical settings. The purpose of this pilot study is to explore the potential therapeutic effects of a group robot intervention (GRI), using dog-like social robot (SR) ‘aibo’ in pediatric ward. GRI by aibo was conducted for those children with chronic illness (127 in total) who are hospitalized in National Centre for Child Health and Development (NCCHD), and their caregivers (116 in total), from March to April 2018. The observer made structured behavioural observation records, based on which qualitative research on the features of their words and conducts, were carried out. As a result, first, during the GRI, about 2/3 of total expression by children were positive, while about 1/4 were negative or inappropriate. On the other hand, as seen in the ‘change’ group, those children who had originally responded with negative expression eventually came to express positive expression, while getting involved in a ternary relationship or participating in a session more than once. Secondly, as for the expression from the caregivers during the GRI, active expressions such as ‘participation’ and ‘exploration’ accounted for the 2/3, while 1/3 turned out to be rather placid expressions such as ‘watch over’ or ‘encourage.’Conclusion: There has not been any precedent study on the features of words and conducts expressed by patients and their caregivers during the GRI by aibo. The outcome suggests that aibo could possibly be used as a tool for group robot-assisted therapy in the pediatric treatment setting. What is Known:• The study on robot-assisted therapy in a pediatric field has only just begun.• Though many kinds of social robot have been reportedly used so far, none has yet to be applied in clinical settings What is New:• Our study revealed the features of words and behaviour expressed by the patients and their caregivers, when dog-like social robot ‘aibo’ was used for a group robot intervention in the pediatric ward.• The outcome suggests that aibo could possibly be used as a tool for group robot-assisted therapy in the pediatric treatment setting.

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Onishi, Tomohiko. "POO--CHI." Journal of Robotics and Mechatronics 14, no. 1 (February 20, 2002): 76–77. http://dx.doi.org/10.20965/jrm.2002.p0076.

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POO-CHI of the KOKO-ROBO Series is a dog-shaped toy robot targeting girls of about 10 years old. To date, it has recorded sales of about 19,000,000. POO--CHI sings, moves its legs, and changes the expression of its eyes based on different input to its sensors. Its safety features prevent fingers of children from being caught in the legs of the robot by accident. The main challenge in its development was to reconcile lower cost with functions, especially those that make POO--CHI appear smarter.

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Saegusa, Shozo, Yuya Yasuda, Yoshitaka Uratani, Eiichirou Tanaka, Toshiaki Makino, and Jen-Yuan Chang. "Development of a guide-dog robot: human–robot interface considering walking conditions for a visually handicapped person." Microsystem Technologies 17, no. 5-7 (January 12, 2011): 1169–74. http://dx.doi.org/10.1007/s00542-010-1219-1.

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SAKAI, Seiya, Shotaro FURUTA, Tsuyoshi NAKAMURA, Masayoshi KANOH, Koji YAMADA, Yuji IWAHORI, and Shinji FUKUI. "Efficient Hearing-Dog-Robot Searching for User Using Life Pattern Clustering." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 32, no. 5 (October 15, 2020): 860–65. http://dx.doi.org/10.3156/jsoft.32.5_860.

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Kim, Juhyeon, Duho Chung, Yohan Kim, and Hyoungkwan Kim. "Deep learning-based 3D reconstruction of scaffolds using a robot dog." Automation in Construction 134 (February 2022): 104092. http://dx.doi.org/10.1016/j.autcon.2021.104092.

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TAJIRI, Tomoki, Rei OGAMI, Yogo TAKADA, Atushi IMADU, and Tadao KAWAI. "211 The 3D map for obstacles recognition by guide dog robot." Proceedings of the Symposium on Evaluation and Diagnosis 2010.9 (2010): 106–8. http://dx.doi.org/10.1299/jsmesed.2010.9.106.

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Chen, Qiang, Yinong Chen, Jinhui Zhu, Gennaro De Luca, Mei Zhang, and Ying Guo. "Traffic light and moving object detection for a guide-dog robot." Journal of Engineering 2020, no. 13 (July 1, 2020): 675–78. http://dx.doi.org/10.1049/joe.2019.1137.

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Kerepesi, A., E. Kubinyi, G. K. Jonsson, M. S. Magnusson, and Á. Miklósi. "Behavioural comparison of human–animal (dog) and human–robot (AIBO) interactions." Behavioural Processes 73, no. 1 (July 2006): 92–99. http://dx.doi.org/10.1016/j.beproc.2006.04.001.

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45

Saegusa, Shozo, Goki Fujimoto, Yuya Yashuda, Yoshitaka Uratani, and Eiichiro Tanaka. "1305 Detection of Bar-Shape Obstacles for a Guide-Dog Robot." Proceedings of the Conference on Information, Intelligence and Precision Equipment : IIP 2008 (2008): 90–94. http://dx.doi.org/10.1299/jsmeiip.2008.90.

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François, Dorothée, Stuart Powell, and Kerstin Dautenhahn. "A long-term study of children with autism playing with a robotic pet." Interaction Studies 10, no. 3 (December 10, 2009): 324–73. http://dx.doi.org/10.1075/is.10.3.04fra.

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This paper presents a novel methodological approach of how to design, conduct and analyse robot-assisted play. This approach is inspired by nondirective play therapy. The experimenter participates in the experiments, but the child remains the main leader for play. Besides, beyond inspiration from non-directive play therapy, this approach enables the experimenter to regulate the interaction under specific conditions in order to guide the child or ask her questions about reasoning or affect related to the robot. This approach has been tested in a long-term study with six children with autism in a school setting. An autonomous robot with zoomorphic, dog-like appearance was used in the studies. The children’s progress was analyzed according to three dimensions, namely, Play, Reasoning and Affect. Results from the case-study evaluations have shown the capability of the method to meet each child’s needs and abilities. Children who mainly played solitarily progressively experienced basic imitation games with the experimenter. Children who proactively played socially progressively experienced higher levels of play and constructed more reasoning related to the robot. They also expressed some interest in the robot, including, on occasion, affect. Keywords: Human–Robot Interaction, Robot-Mediated Therapy, Robot-Assisted Play, Non-Directive Play Therapy, Assistive Technology, Autism, Children

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Kondo, Hayato, Tamaki Ura, and Yoshiaki Nose. "Development of an Autonomous Underwater Vehicle ""Tri-Dog"" Toward Practical Use in Shallow Water." Journal of Robotics and Mechatronics 13, no. 2 (April 20, 2001): 205–11. http://dx.doi.org/10.20965/jrm.2001.p0205.

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To develop robots used in an underwater environment, it is necessary to cope with restrictions such as high pressure, low visibility caused by bad transmissivity of light in water, and the fact that electromagnetic wave cannot be used for communications and positioning. Moreover, they operate in oceans and lakes, which involve complicate fluid disturbance and unknown obstacles that are difficult to predict. Therefore, it is important to build full-scale ocean-going vehicles and testbed vehicles, and do experiments in real environments. Sophisticated testbed vehicles are essential facilities for development of highly intelligent systems to be converted to ocean-going vehicles. This paper describes the design of ""Tri-Dog 1"", specifications, tank tests for system identification, and supposed mission. The robot has functions that are higher level than that of practical vehicles, considering experiments in shallow water such as lakes, marshes and shallow sea, and in test tanks. It is possible to apply the developed software system to practical vehicles immediately.

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Zhang, Jiaqi, Xiaolei Han, and Xueying Han. "Walking quality guaranteed central pattern generator control method." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 3 (May 8, 2013): 569–79. http://dx.doi.org/10.1177/0954406213488854.

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Creating effective locomotion for a legged robot is a challenging task. Central pattern generators have been widely used to control robot locomotion. However, one significant disadvantage of the central pattern generator method is its inability to design high-quality walks because it only produces sine or quasi-sine signals for motor control as compared to most cases in which the expected control signals are more advanced. Control accuracy is therefore diminished when traditional methods are replaced by central pattern generators resulting in unaesthetically pleasing walking robots. In this paper, we present a set of solutions, based on testings of Sony’s four-legged robotic dog (AIBO), which produces the same walking quality as traditional methods. First, we designed a method based on both evolution and learning to optimize the walking gait. Second, a central pattern generator model was put forth to enabled AIBO to learn from arbitrary periodic inputs, which resulted in the replication of the optimized gait to ensure high-quality walking. Lastly, an accelerator sensor feedback was introduced so that AIBO could detect uphill and downhill terrains and change its gait according to the surrounding environment. Simulations were performed to verify this method.

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OGAWA, Hironori, Katsuyuki SAGAYAMA, and Kazuteru TOBITA. "1P1-L12 Development of the Guide Dog Robot using a Force Sensor." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2009 (2009): _1P1—L12_1—_1P1—L12_3. http://dx.doi.org/10.1299/jsmermd.2009._1p1-l12_1.

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Uratani, Yoshitaka, Shozo Saegusa, Goki Fujimoto, Yuya Yashuda, Eiichiro Tanaka, and Toshiaki Makino. "3718 Detection and avoidance of Bar-Shape Obstacles for Assistance-Dog Robot." Proceedings of the JSME annual meeting 2008.7 (2008): 227–28. http://dx.doi.org/10.1299/jsmemecjo.2008.7.0_227.

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