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Relevant bibliographies by topics / Perception of robots

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Academic literature on the topic 'Perception of robots'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 April 2022

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Journal articles on the topic "Perception of robots"

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Karwowski, Waldemar, T. Plank, M. Parsaei, and M. Rahimi. "Human Perception of the Maximum Safe Speed of Robot Motions." Proceedings of the Human Factors Society Annual Meeting 31, no. 2 (1987): 186–90. http://dx.doi.org/10.1177/154193128703100211.

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A laboratory experiment was conducted to determine the maximum speeds of robot arm motion considered by the subjects as safe for human operators working in a close proximity of the robot's working envelope. Twenty-nine college students (16 males and 13 females) participated in the study as monitors of the simulated assembly tasks performed by two industrial robots of different size and work capabilities. The results show that the speed selection process depends on the robot's physical size and its initial speed at the start of the adjustment process. Subjects selected higher speeds as “safe” i

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Butler, Rebecca, Zoe Pruitt, and Eva Wiese. "The Effect of Social Context on the Mind Perception of Robots." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 230–34. http://dx.doi.org/10.1177/1071181319631010.

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As social robots are increasingly introduced into our everyday lives, an emphasis on improving the human-robot interaction (HRI), particularly through increased mind perception, is necessary. Substantial research has been conducted that demonstrates how manipulations to a robot’s physical appearance or behavior increases mind perception, yet little has been done to examine the effects of the social environment. This study aims to identify the impact of social context on mind perception by comparing mind perception ratings assigned to robots viewed in a human context with those assigned to robo

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Li, Haiyuan, Haoyu Wang, Linlin Cui, Jiake Li, Qi Wei, and Jiqiang Xia. "Design and Experiments of a Compact Self-Assembling Mobile Modular Robot with Joint Actuation and Onboard Visual-Based Perception." Applied Sciences 12, no. 6 (2022): 3050. http://dx.doi.org/10.3390/app12063050.

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Modular robots have the advantage of self-assembling into a large and complex structure to travel through territories beyond an individual robot’s capacity. A swarm of mobile robots is combined through mechanical interconnection and joint actuation to achieve a linked or articular configuration. In this paper, to enhance the perception, actuation and docking capacity of modular robots, a parallel mechanism-based docking system and onboard visual perception system are proposed in the design of a novel compact self-assembling mobile modular robot (SMMRob). Each module is self-contained, with a s

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Martín, Francisco, Carlos E. Agüero, and José M. Cañas. "Active Visual Perception for Humanoid Robots." International Journal of Humanoid Robotics 12, no. 01 (2015): 1550009. http://dx.doi.org/10.1142/s0219843615500097.

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Robots detect and keep track of relevant objects in their environment to accomplish some tasks. Many of them are equipped with mobile cameras as the main sensors, process the images and maintain an internal representation of the detected objects. We propose a novel active visual memory that moves the camera to detect objects in robot's surroundings and tracks their positions. This visual memory is based on a combination of multi-modal filters that efficiently integrates partial information. The visual attention subsystem is distributed among the software components in charge of detecting relev

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Onnasch, Linda, and Eileen Roesler. "Anthropomorphizing Robots: The Effect of Framing in Human-Robot Collaboration." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1311–15. http://dx.doi.org/10.1177/1071181319631209.

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Anthropomorphic framing of social robots is widely believed to facilitate human-robot interaction. In two subsequent studies, the impact of anthropomorphic framing was examined regarding the subjective perception of a robot and the willingness to donate money for this robot. In both experiments, participants received either an anthropomorphic or a functional description of a humanoid NAO robot prior to a cooperative task. Afterwards the perceived robot’s humanlike perception and the willingness to “save” the robot from malfunctioning were assessed (donation behavior). Surprisingly, the first s

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Bartneck, Christoph, and Jun Hu. "Exploring the abuse of robots." Interaction Studies 9, no. 3 (2008): 415–33. http://dx.doi.org/10.1075/is.9.3.04bar.

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Robots have been introduced into our society, but their social role is still unclear. A critical issue is whether the robot’s exhibition of intelligent behaviour leads to the users’ perception of the robot as being a social actor, similar to the way in which people treat computers and media as social actors. The first experiment mimicked Stanley Milgram’s obedience experiment, but on a robot. The participants were asked to administer electric shocks to a robot, and the results show that people have fewer concerns about abusing robots than about abusing other people. We refined the methodology

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Aliasghari, Pourya, Moojan Ghafurian, Chrystopher L. Nehaniv, and Kerstin Dautenhahn. "Impact of nonverbal robot behaviour on human teachers’ perceptions of a learner robot." Interaction Studies 22, no. 2 (2021): 141–76. http://dx.doi.org/10.1075/is.20036.ali.

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Abstract How do we perceive robots practising a task that we have taught them? While learning, human trainees usually provide nonverbal cues that reveal their level of understanding and interest in the task. Similarly, nonverbal social cues of trainee robots that can be interpreted naturally by humans can enhance robot learning. In this article, we investigated a scenario in which a robot is practising a physical task in front of the human teachers (i.e., participants), who were asked to assume that they had previously taught the robot to perform that task. Through an online experiment with 16

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Kirandziska, Vesna, and Nevena Ackovska. "Comparison of emotion evaluation perception using human voice signals of robots and humans." International Journal of Business & Technology 2, no. 2 (2014): 13–17. http://dx.doi.org/10.33107/ijbte.2014.2.2.03.

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Emotion perception is the process of perceiving other people’s emotions. It can be based on their facial expression, movement, voice and other biosignals people emit. The evaluation of human’s emotion is one characteristic of emotions. One of the research areas in Robotics is adapting humanistic behavior in robots. Today many robots are constructed. Some of them can even perceive emotions. In this paper a custom built emotion aware robot that perceives emotion evaluation is used to investigate the similarity and differences of the robot's and human's emotion perception. Voice signals from real

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Currie, Levern Q., and Eva Wiese. "Mind Perception in a Competitive Human-Robot Interaction Game." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1957–61. http://dx.doi.org/10.1177/1071181319631284.

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Robotic agents are becoming increasingly pervasive in society, and have already begun advancing fields such as healthcare, education, and industry. However, despite their potential to do good for society, many people still feel unease when imaging a future where robots and humans work and live together in shared environments, partly because robots are not generally trusted or ascribed human-like socio-emotional skills such as mentalizing and empathizing. In addition, performing tasks conjointly with robots can be frustrating and ineffective partially due to the fact that neuronal networks invo

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Bishop, Laura, Anouk van Maris, Sanja Dogramadzi, and Nancy Zook. "Social robots: The influence of human and robot characteristics on acceptance." Paladyn, Journal of Behavioral Robotics 10, no. 1 (2019): 346–58. http://dx.doi.org/10.1515/pjbr-2019-0028.

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AbstractResearch in social robotics is focused on the development of robots that can provide physical and cognitive support in a socially interactive way. Whilst some studies have previously investigated the importance of user characteristics (age, gender, education, robot familiarity, mood) in the acceptance of social robots as well as the influence a robot’s displayed emotion (positive, negative, neutral) has on the interaction, these two aspects are rarely combined. Therefore, this study attempts to highlight the need to consider the influence that both human and robot attributes can have o

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Dissertations / Theses on the topic "Perception of robots"

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Upham, Ellis Linda. "Perception and displays for teleoperated robots." Doctoral diss., Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002330.

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Kwok, Chung Tin. "Robust real-time perception for mobile robots /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/7017.

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Bhamjee, Sajida. "Children's perception and interpretation of robots and robot behaviour." Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/57067/.

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The world of robotics, like that of all technology is changing rapidly (Melson, et al., 2009). As part of an inter-disciplinary project investigating the emergence of artificial culture in robot societies, this study set out to examine children’s perception of robots and interpretation of robot behaviour. This thesis is situated in an interdisciplinary field of human–robot interactions, drawing on research from the disciplines of sociology and psychology as well as the fields of engineering and ethics. The study was divided into four phases: phase one involved children from two primary schools

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Nakhaei, Alireza. "Motion planning and perception : integration on humanoid robots." Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT043H/document.

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Le chapitre 1 est pour l'essentiel une brève introduction générale qui donne le contexte générale de la planification et présente l'organisation du document dans son ensemble et quelques uns des points clés retenus : robot humanoïde, environnement non statique, perception par vision artificielle, et représentation de cet environnement par grilles d'occupation. Dans le chapitre 2, après une revue de littérature bien menée, l'auteur propose de considérer les points de repère de l'environnement dès la phase de planification de chemin afin de rendre plus robuste l'exécution des déplacements en cas

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Prakash, Akanksha. "Understanding younger and older adults' perceptions of humanoid robots: effects of facial appearance and task." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49024.

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Although humanoid robots are being designed to assist people in various tasks, there remain gaps in our understanding of the perceptions that humanoid faces evoke in the user. Understanding user perceptions would help design robots that are better suited for the target user group. Younger and older adults’ preferences for robot appearance were assessed out of three levels of human-likeness. In general, people perceived a mixed human-robot appearance less favorably compared to highly human and highly robotic appearances. Additionally the nature of task also influenced people’s overall perceptio

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Schöpfer, Matthias [Verfasser]. "Tactile perception of cognitive robots / Matthias Schöpfer." Bielefeld : Universitätsbibliothek Bielefeld, 2011. http://d-nb.info/1026865204/34.

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Pillai, Sudeep. "SLAM-aware, self-supervised perception in mobile robots." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/114054.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 152-171).<br>Simultaneous Localization and Mapping (SLAM) is a fundamental capability in mobile robots, and has been typically considered in the context of aiding mapping and navigation tasks. In this thesis, we advocate for

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Steder, Bastian [Verfasser], and Wolfram [Akademischer Betreuer] Burgard. "Feature-based 3D perception for mobile robots = Merkmalsbasierte 3D-Wahrnehmung für mobile Roboter." Freiburg : Universität, 2013. http://d-nb.info/1123475253/34.

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Chang, Mark Meng-Hsiang. "Distributed multi-robot planning using shared perception /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19027.pdf.

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Kollmitz, Marina [Verfasser], and Wolfram [Akademischer Betreuer] Burgard. "Perception and learning for mobile robots in populated environments." Freiburg : Universität, 2021. http://d-nb.info/1236500512/34.

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Books on the topic "Perception of robots"

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González Aguirre, David Israel. Visual Perception for Humanoid Robots. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97841-3.

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Azad, Pedram. Visual Perception for Manipulation and Imitation in Humanoid Robots. Springer-Verlag Berlin Heidelberg, 2009.

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Yu, Junzhi, Xingyu Chen, and Shihan Kong. Visual Perception and Control of Underwater Robots. CRC Press, 2021. http://dx.doi.org/10.4324/9781003144281.

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Yu, Junzhi, Xingyu Chen, and Shihan Kong. Visual Perception and Control of Underwater Robots. CRC Press, 2021. http://dx.doi.org/10.1201/9781003144281.

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Azad, Pedram. Visual Perception for Manipulation and Imitation in Humanoid Robots. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04229-4.

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Pomerleau, Dean A. Neural network perception for mobile robot guidance. Kluwer Academic Publishers, 1993.

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Ayache, Nicholas. Artificial vision for mobile robots: Stereo vision and multisensory perception. MIT Press, 1991.

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Arena, Paolo, and Luca Patanè, eds. Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88464-4.

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1953-, Harris Laurence, and Jenkin Michael 1959-, eds. Spatial vision in humans and robots: The proceedings of the 1991 York Conference on Spatial Vision in Humans and Robots. Cambridge University Press, 1993.

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Arena, Paolo, and Luca Patanè, eds. Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02362-5.

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Book chapters on the topic "Perception of robots"

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Gunderson, L. F., and J. P. Gunderson. "Perception/Action System." In Robots, Reasoning, and Reification. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-87488-3_5.

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Buttazzo, G., A. Bicchi, and P. Dario. "Robot Tactile Perception." In Sensor-Based Robots: Algorithms and Architectures. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-75530-9_2.

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Mohan, Vishwanathan, Pietro Morasso, Giorgio Metta, and Stathis Kasderidis. "Actions and Imagined Actions in Cognitive Robots." In Perception-Action Cycle. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1452-1_17.

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Nourbakhsh, Illah Reza. "Perception and Action." In Interleaving Planning and Execution for Autonomous Robots. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6317-4_2.

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Schiele, Bernt, Martin Spengler, and Hannes Kruppa. "Towards Robust Perception and Model Integration." In Sensor Based Intelligent Robots. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45993-6_9.

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Kawamura, K., D. M. Wilkes, A. B. Koku, and T. Keskinpala. "Perception-Based Navigation for Mobile Robots." In Multi-Robot Systems: From Swarms to Intelligent Automata. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-2376-3_26.

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Bhamjee, Sajida, Frances Griffiths, and Julie Palmer. "Children’s Perception and Interpretation of Robots and Robot Behaviour." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19385-9_6.

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Zapata, René, and P. Lépinay. "Fast mobile robots in unstructured environments." In Geometric Reasoning for Perception and Action. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57132-9_7.

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Redstone, Josh. "Making Sense of Empathy with Sociable Robots: A New Look at the “Imaginative Perception of Emotion”." In Social Robots. Routledge, 2017. http://dx.doi.org/10.4324/9781315563084-2.

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Elfes, Alberto, Samuel S. Bueno, Josué J. G. Ramos, et al. "Modelling, Control and Perception for an Autonomous Robotic Airship." In Sensor Based Intelligent Robots. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45993-6_13.

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Conference papers on the topic "Perception of robots"

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Barco, Alex, Chiara de Jong, Jochen Peter, Rinaldo Kühne, and Caroline L. van Straten. "Robot Morphology and Children's Perception of Social Robots." In HRI '20: ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2020. http://dx.doi.org/10.1145/3371382.3378348.

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Ozkul, Mine Cuneyitoglu, Afsar Saranli, and Yigit Yazicioglu. "Acoustic Surface Perception for Improved Mobility of Legged Robots." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70638.

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A dynamically dexterous legged robot has the distinct property that the legs are continuously interacting with the environment. During walking and running, this interaction generates acoustic signals that carry considerable information about the surface being traversed, state of the robot legs and joint motors as well as the stability of the locomotion. Extracting a particular piece of information from this convolved acoustic signal however is an interesting and challenging area of research which we believe may have fundamental benefits for legged robotics research. For example, the identifica

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Missura, Marcell, Arindam Roychoudhury, and Maren Bennewitz. "Polygonal Perception for Mobile Robots." In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2020. http://dx.doi.org/10.1109/iros45743.2020.9341742.

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Nigam, Aastha, and Laurel D. Riek. "Social context perception for mobile robots." In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015. http://dx.doi.org/10.1109/iros.2015.7353883.

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Semizoğlu, Sena, and Ekrem Cem Alppay. "Transdisciplinary Approach in Social Robots: A Repertory Grid Analysis on Perception and Anticipated User Experience." In Human Systems Engineering and Design (IHSED 2021) Future Trends and Applications. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe1001113.

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This Social robot can be defined as a physical robot with capabilities of interacting with their surrounding in a social manner. Social robots should be designed both physically and socially. Designing them requires more than technical knowledge and should be taken as a transdisciplinary process in which engineers, program-mers, behavioral scientists and designers co-work. This study aims to explore the transdisciplinary nature of social robots as an emerging social artefact.A repertory grid study is conducted with 13 participants from different back-grounds to reveal the perceptual keywords a

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Amiri, Saeid, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, and Peter Stone. "Multi-modal Predicate Identification using Dynamically Learned Robot Controllers." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/645.

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Intelligent robots frequently need to explore the objects in their working environments. Modern sensors have enabled robots to learn object properties via perception of multiple modalities. However, object exploration in the real world poses a challenging trade-off between information gains and exploration action costs. Mixed observability Markov decision process (MOMDP) is a framework for planning under uncertainty, while accounting for both fully and partially observable components of the state. Robot perception frequently has to face such mixed observability. This work enables a robot equip

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Mania, Patrick, Franklin Kenghagho Kenfack, Michael Neumann, and Michael Beetz. "Imagination-enabled Robot Perception." In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2021. http://dx.doi.org/10.1109/iros51168.2021.9636359.

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Schmitz, Norbert, and Karsten Berns. "Perception systems for naturally interacting humanoid robots." In 2011 RO-MAN: The 20th IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 2011. http://dx.doi.org/10.1109/roman.2011.6005251.

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Schmitz, Norbert, Carsten Spranger, and Karsten Berns. "3D Audio Perception System for Humanoid Robots." In 2009 Second International Conferences on Advances in Computer-Human Interactions (ACHI). IEEE, 2009. http://dx.doi.org/10.1109/achi.2009.24.

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You, Hsiao-Chen, and Wei-Tsz Hung. "Gendered Robots: The Impact of Visual Design on Robots’ Gender Perception." In The Asian Conference on Arts & Humanities 202. The International Academic Forum(IAFOR), 2021. http://dx.doi.org/10.22492/issn.2186-229x.2021.17.

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Reports on the topic "Perception of robots"

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Stansfield, S. Haptic perception with an articulated, sensate robot hand. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6909453.

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Elliott, Linda R., Chris Jansen, Elizabeth S. Redden, and Rodger A. Pettitt. Robotic Telepresence: Perception, Performance, and User Experience. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada562448.

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Rego, Jocelyn, Edward Kim, and Garrett Kenyon. Biologically Inspired Robust Perception Approximating Sparse Coding. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1820067.

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Lennon, Craig, Barry Bodt, Marshal Childers, et al. An Integrated Assessment of Progress in Robotic Perception and Semantic Navigation. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada621666.

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Saidi, Kamel, Geraldine Cheok, Helen Qiao, John Horst, and Marek Franaszek. Proceedings of the ASTM E57 workshop on standards for 3D perception systems for robotic assembly applications:. National Institute of Standards and Technology, 2020. http://dx.doi.org/10.6028/nist.ams.100-33.

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Imbrie, Andrew, Rebecca Gelles, James Dunham, and Catherine Aiken. Contending Frames: Evaluating Rhetorical Dynamics in AI. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20210010.

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The narrative of an artificial intelligence “arms race” among the great powers has become shorthand to describe evolving dynamics in the field. Narratives about AI matter because they reflect and shape public perceptions of the technology. In this issue brief, the second in a series examining rhetorical frames in AI, the authors compare four narrative frames that are prominent in public discourse: AI Competition, Killer Robots, Economic Gold Rush and World Without Work.

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Gomez-Gonzalez, Jose E., Oscar Valencia, and Gustavo Sánchez. Sudden Stops, Sovereign Risk, and Fiscal Rules. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003146.

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This paper studies the effect of implementing fiscal rules on sovereign default risk and on the probability of large capital ow reversals for a large sample of countries including both developed and emerging market economies. Results indicate that fiscal rules are beneficial for macroeconomic stability, as they significantly reduce both sovereign risk perception and the probability of a sudden stop in countries that implement them. These results, which are robust to various empirical specifications, have important policy implications specially for countries that have relaxed their fiscal rules

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Razdan, Rahul. Unsettled Topics Concerning Human and Autonomous Vehicle Interaction. SAE International, 2020. http://dx.doi.org/10.4271/epr2020025.

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This report examines the current interaction points between humans and autonomous systems, with a particular focus on advanced driver assistance systems (ADAS), the requirements for human-machine interfaces as imposed by human perception, and finally, the progress being made to close the gap. Autonomous technology has the potential to benefit personal transportation, last-mile delivery, logistics, and many other mobility applications enormously. In many of these applications, the mobility infrastructure is a shared resource in which all the players must cooperate. In fact, the driving task has

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