Literatura científica selecionada sobre o tema "Interaction robot-Robot"
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Artigos de revistas sobre o assunto "Interaction robot-Robot"
Lee, Heejin. "A Human-Robot Interaction Entertainment Pet Robot". Journal of Korean Institute of Intelligent Systems 24, n.º 2 (25 de abril de 2014): 179–85. http://dx.doi.org/10.5391/jkiis.2014.24.2.179.
Texto completo da fonteMitsunaga, N., C. Smith, T. Kanda, H. Ishiguro e N. Hagita. "Adapting Robot Behavior for Human--Robot Interaction". IEEE Transactions on Robotics 24, n.º 4 (agosto de 2008): 911–16. http://dx.doi.org/10.1109/tro.2008.926867.
Texto completo da fonteLai, Yujun, Gavin Paul, Yunduan Cui e Takamitsu Matsubara. "User intent estimation during robot learning using physical human robot interaction primitives". Autonomous Robots 46, n.º 2 (15 de janeiro de 2022): 421–36. http://dx.doi.org/10.1007/s10514-021-10030-9.
Texto completo da fonteTakamatsu, Jun. "Human-Robot Interaction". Journal of the Robotics Society of Japan 37, n.º 4 (2019): 293–96. http://dx.doi.org/10.7210/jrsj.37.293.
Texto completo da fonteJia, Yunyi, Biao Zhang, Miao Li, Brady King e Ali Meghdari. "Human-Robot Interaction". Journal of Robotics 2018 (1 de outubro de 2018): 1–2. http://dx.doi.org/10.1155/2018/3879547.
Texto completo da fonteMurphy, Robin, Tatsuya Nomura, Aude Billard e Jennifer Burke. "Human–Robot Interaction". IEEE Robotics & Automation Magazine 17, n.º 2 (junho de 2010): 85–89. http://dx.doi.org/10.1109/mra.2010.936953.
Texto completo da fonteSethumadhavan, Arathi. "Human-Robot Interaction". Ergonomics in Design: The Quarterly of Human Factors Applications 20, n.º 3 (julho de 2012): 27–28. http://dx.doi.org/10.1177/1064804612449796.
Texto completo da fonteSheridan, Thomas B. "Human–Robot Interaction". Human Factors: The Journal of the Human Factors and Ergonomics Society 58, n.º 4 (20 de abril de 2016): 525–32. http://dx.doi.org/10.1177/0018720816644364.
Texto completo da fontePearson, Yvette. "Child-Robot Interaction". American Scientist 108, n.º 1 (2020): 16. http://dx.doi.org/10.1511/2020.108.1.16.
Texto completo da fonteJones, Keith S., e Elizabeth A. Schmidlin. "Human-Robot Interaction". Reviews of Human Factors and Ergonomics 7, n.º 1 (25 de agosto de 2011): 100–148. http://dx.doi.org/10.1177/1557234x11410388.
Texto completo da fonteTeses / dissertações sobre o assunto "Interaction robot-Robot"
Akan, Batu. "Human Robot Interaction Solutions for Intuitive Industrial Robot Programming". Licentiate thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-14315.
Texto completo da fonterobot colleague project
Ali, Muhammad. "Contribution to decisional human-robot interaction: towards collaborative robot companions". Phd thesis, INSA de Toulouse, 2012. http://tel.archives-ouvertes.fr/tel-00719684.
Texto completo da fonteAli, Muhammad. "Contributions to decisional human-robot interaction : towards collaborative robot companions". Thesis, Toulouse, INSA, 2012. http://www.theses.fr/2012ISAT0003/document.
Texto completo da fonteHuman Robot Interaction is entering into the interesting phase where the relationship with a robot is envisioned more as one of companionship with the human partner than a mere master-slave relationship. For this to become a reality, the robot needs to understand human behavior and not only react appropriately but also be socially proactive. A Companion Robot will also need to collaborate with the human in his daily life and will require a reasoning mechanism to manage thecollaboration and also handle the uncertainty in the human intention to engage and collaborate. In this work, we will identify key elements of such interaction in the context of a collaborative activity, with special focus on how humans successfully collaborate to achieve a joint action. We will show application of these elements in a robotic system to enrich its social human robot interaction aspect of decision making. In this respect, we provide a contribution to managing robot high-level goals and proactive behavior and a description of a coactivity decision model for collaborative human robot task. Also, a HRI user study demonstrates the importance of timing a verbal communication in a proactive human robot joint action
Alili, Samir. "Interaction décisionnelle Homme-Robot : planification de tâche pour un robot interactif en environnement humain". Phd thesis, Université Paul Sabatier - Toulouse III, 2011. http://tel.archives-ouvertes.fr/tel-01068811.
Texto completo da fonteAlili, Samir. "Interaction décisionnelle homme-robot : planification de tâche pour un robot interactif en environnement humain". Phd thesis, Toulouse 3, 2011. http://thesesups.ups-tlse.fr/2663/.
Texto completo da fonteThis thesis addresses the problem of the shared decision between human and robot in the perspective of interactive problem solving that involved human and robot. The robot and human share common goals and must work together to identify how to realize (the capacity and the competence of each one are different). Issues to be addressed concerning this division of roles, sharing of authority in the execution of a task (taking initiative), to exhibit the knowledge such that both can play an optimal role in the resolution of common problems. We developed a task planner named HATP (Human Aware Task Planner). This planner is based on hierarchical task planning that is enriched with social rules. It can produce plans that are socially acceptable that means plans that make legible the actions and intentions of the robot. The planner also has the ability to plan for the robot and humans while ensuring optimality for each. We are also interested in a hybrid approach that mixes between task planning and geometrical planning. This approach allows the robot to have control over the sequence of actions that it produces, but also on how to achieve it. Thereby treat the human-robot interaction problem more cleverly, but also on several levels
Kruse, Thibault. "Planning for human robot interaction". Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30059/document.
Texto completo da fonteThe recent advances in robotics inspire visions of household and service robots making our lives easier and more comfortable. Such robots will be able to perform several object manipulation tasks required for household chores, autonomously or in cooperation with humans. In that role of human companion, the robot has to satisfy many additional requirements compared to well established fields of industrial robotics. The purpose of planning for robots is to achieve robot behavior that is goal-directed and establishes correct results. But in human-robot-interaction, robot behavior cannot merely be judged in terms of correct results, but must be agree-able to human stakeholders. This means that the robot behavior must suffice additional quality criteria. It must be safe, comfortable to human, and intuitively be understood. There are established practices to ensure safety and provide comfort by keeping sufficient distances between the robot and nearby persons. However providing behavior that is intuitively understood remains a challenge. This challenge greatly increases in cases of dynamic human-robot interactions, where the actions of the human in the future are unpredictable, and the robot needs to constantly adapt its plans to changes. This thesis provides novel approaches to improve the legibility of robot behavior in such dynamic situations. Key to that approach is not to merely consider the quality of a single plan, but the behavior of the robot as a result of replanning multiple times during an interaction. For navigation planning, this thesis introduces directional cost functions that avoid problems in conflict situations. For action planning, this thesis provides the approach of local replanning of transport actions based on navigational costs, to provide opportunistic behavior. Both measures help human observers understand the robot's beliefs and intentions during interactions and reduce confusion
Bodiroža, Saša. "Gestures in human-robot interaction". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2017. http://dx.doi.org/10.18452/17705.
Texto completo da fonteGestures consist of movements of body parts and are a mean of communication that conveys information or intentions to an observer. Therefore, they can be effectively used in human-robot interaction, or in general in human-machine interaction, as a way for a robot or a machine to infer a meaning. In order for people to intuitively use gestures and understand robot gestures, it is necessary to define mappings between gestures and their associated meanings -- a gesture vocabulary. Human gesture vocabulary defines which gestures a group of people would intuitively use to convey information, while robot gesture vocabulary displays which robot gestures are deemed as fitting for a particular meaning. Effective use of vocabularies depends on techniques for gesture recognition, which considers classification of body motion into discrete gesture classes, relying on pattern recognition and machine learning. This thesis addresses both research areas, presenting development of gesture vocabularies as well as gesture recognition techniques, focusing on hand and arm gestures. Attentional models for humanoid robots were developed as a prerequisite for human-robot interaction and a precursor to gesture recognition. A method for defining gesture vocabularies for humans and robots, based on user observations and surveys, is explained and experimental results are presented. As a result of the robot gesture vocabulary experiment, an evolutionary-based approach for refinement of robot gestures is introduced, based on interactive genetic algorithms. A robust and well-performing gesture recognition algorithm based on dynamic time warping has been developed. Most importantly, it employs one-shot learning, meaning that it can be trained using a low number of training samples and employed in real-life scenarios, lowering the effect of environmental constraints and gesture features. Finally, an approach for learning a relation between self-motion and pointing gestures is presented.
Ahmed, Muhammad Rehan. "Compliance Control of Robot Manipulator for Safe Physical Human Robot Interaction". Doctoral thesis, Örebro universitet, Akademin för naturvetenskap och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-13986.
Texto completo da fonteToris, Russell C. "Bringing Human-Robot Interaction Studies Online via the Robot Management System". Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/1058.
Texto completo da fonteNitz, Pettersson Hannes, e Samuel Vikström. "VISION-BASED ROBOT CONTROLLER FOR HUMAN-ROBOT INTERACTION USING PREDICTIVE ALGORITHMS". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54609.
Texto completo da fonteLivros sobre o assunto "Interaction robot-Robot"
Jost, Céline, Brigitte Le Pévédic, Tony Belpaeme, Cindy Bethel, Dimitrios Chrysostomou, Nigel Crook, Marine Grandgeorge e Nicole Mirnig, eds. Human-Robot Interaction. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42307-0.
Texto completo da fonteMansour, Rahimi, e Karwowski Waldemar 1953-, eds. Human-robot interaction. London: Taylor & Francis, 1992.
Encontre o texto completo da fontePrassler, Erwin, Gisbert Lawitzky, Andreas Stopp, Gerhard Grunwald, Martin Hägele, Rüdiger Dillmann e Ioannis Iossifidis, eds. Advances in Human-Robot Interaction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b97960.
Texto completo da fonteGoodrich, Michael A. Human-robot interaction: A survey. Hanover: Now Publishers, 2007.
Encontre o texto completo da fonteXing, Bo, e Tshilidzi Marwala. Smart Maintenance for Human–Robot Interaction. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67480-3.
Texto completo da fonteAyanoğlu, Hande, e Emília Duarte, eds. Emotional Design in Human-Robot Interaction. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-96722-6.
Texto completo da fonteDautenhahn, Kerstin, e Joe Saunders, eds. New Frontiers in Human–Robot Interaction. Amsterdam: John Benjamins Publishing Company, 2011. http://dx.doi.org/10.1075/ais.2.
Texto completo da fonteWang, Xiangyu, ed. Mixed Reality and Human-Robot Interaction. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0582-1.
Texto completo da fonteNew frontiers in human-robot interaction. Philadelphia: John Benjamins Pub., 2011.
Encontre o texto completo da fonteWang, Xiangyu. Mixed Reality and Human-Robot Interaction. Dordrecht: Springer Science+Business Media B.V., 2011.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Interaction robot-Robot"
Nehmzow, Ulrich. "Computer Modelling of Robot-Environment Interaction". In Robot Behaviour, 1–28. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-397-2_7.
Texto completo da fonteDuan, Feng, Wenyu Li e Ying Tan. "Implementation of Robot Voice Interaction Functionality: PocketSphinx". In Intelligent Robot, 239–52. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8253-8_10.
Texto completo da fonteDuan, Feng, Wenyu Li e Ying Tan. "Robot Voice Interaction Functions of Basic Theory". In Intelligent Robot, 223–37. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8253-8_9.
Texto completo da fonteIr, André Pirlet. "The Role of Standardization in Technical Regulations". In Human–Robot Interaction, 1–8. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315213781-1.
Texto completo da fonteTakács, Árpád, Imre J. Rudas e Tamás Haidegger. "The Other End of Human–Robot Interaction". In Human–Robot Interaction, 137–70. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315213781-10.
Texto completo da fonteLőrincz, Márton. "Passive Bilateral Teleoperation with Safety Considerations". In Human–Robot Interaction, 171–86. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315213781-11.
Texto completo da fonteFiorini, Paolo, e Riccardo Muradore. "Human–Robot Interfaces in Autonomous Surgical Robots". In Human–Robot Interaction, 187–99. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315213781-12.
Texto completo da fonteFosch-Villaronga, Eduard, e Angelo Jr Golia. "The Intricate Relationships Between Private Standards and Public Policymaking in Personal Care Robots: Who Cares More?" In Human–Robot Interaction, 9–18. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315213781-2.
Texto completo da fonteFiorini, Sandro Rama, Abdelghani Chibani, Tamás Haidegger, Joel Luis Carbonera, Craig Schlenoff, Jacek Malec, Edson Prestes et al. "Standard Ontologies and HRI". In Human–Robot Interaction, 19–47. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315213781-3.
Texto completo da fontePark, Hong Seong, e Gurvinder Singh Virk. "Robot Modularity for Service Robots". In Human–Robot Interaction, 49–70. Boca Raton, FL : CRC Press/Taylor & Francis Group, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315213781-4.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Interaction robot-Robot"
Billings, Deborah R., Kristin E. Schaefer, Jessie Y. C. Chen e Peter A. Hancock. "Human-robot interaction". In the seventh annual ACM/IEEE international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2157689.2157709.
Texto completo da fonte"Human robot interaction". In 2016 9th International Conference on Human System Interactions (HSI). IEEE, 2016. http://dx.doi.org/10.1109/hsi.2016.7529627.
Texto completo da fonteSt-Onge, David, Nicolas Reeves e Nataliya Petkova. "Robot-Human Interaction". In HRI '17: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3029798.3034785.
Texto completo da fonteBjörling, Elin A., Emma Rose e Rachel Ren. "Teen-Robot Interaction". In HRI '18: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3173386.3177068.
Texto completo da fonteShahid, Suleman, Emiel Krahmer e Marc Swerts. "Child-robot interaction". In the 2011 annual conference extended abstracts. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1979742.1979781.
Texto completo da fonteReynolds-Cuéllar, Pedro, e Andrés F. Salazar-Gómez. "Nature-Robot Interaction". In HRI '23: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3568294.3580034.
Texto completo da fonteJeong-Yean Yang e Dong-Soo Kwon. "The effect of multiple robot interaction on human-robot interaction". In 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2012. http://dx.doi.org/10.1109/urai.2012.6462923.
Texto completo da fonteWang, Heng, Xiuzhi Li e Xiangyin Zhang. "Multimodal Human-robot Interaction on Service Robot". In 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2021. http://dx.doi.org/10.1109/iaeac50856.2021.9391068.
Texto completo da fonteAyub, Ali, Marcus Scheunemann, Christoforos Mavrogiannis, Jimin Rhim, Kerstin Dautenhahn, Chrystopher L. Nehaniv, Verena V. Hafner e Daniel Polani. "Robot Curiosity in Human-Robot Interaction (RCHRI)". In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2022. http://dx.doi.org/10.1109/hri53351.2022.9889478.
Texto completo da fonteLaplaza, Javier, Nicolas Rodriguez, J. E. Dominguez-Vidal, Fernando Herrero, Sergi Hernandez, Alejandro Lopez, Alberto Sanfeliu e Anais Garrell. "IVO Robot: A New Social Robot for Human-Robot Collaboration". In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2022. http://dx.doi.org/10.1109/hri53351.2022.9889458.
Texto completo da fonteRelatórios de organizações sobre o assunto "Interaction robot-Robot"
Arkin, Ronald C., e Lilia Moshkina. Affect in Human-Robot Interaction. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2014. http://dx.doi.org/10.21236/ada593747.
Texto completo da fonteSofge, D., Dennis Perzanowski, M. Skubic, N. Cassimatis, J. G. Trafton, D. Brock, Magda Bugajska, William Adams e Alan C. Schultz. Achieving Collaborative Interaction with a Humanoid Robot. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2003. http://dx.doi.org/10.21236/ada434972.
Texto completo da fonteMartinson, E., e W. Lawson. Learning Speaker Recognition Models through Human-Robot Interaction. Fort Belvoir, VA: Defense Technical Information Center, maio de 2011. http://dx.doi.org/10.21236/ada550036.
Texto completo da fonteManring, Levi H., John Monroe Pederson e Dillon Gabriel Potts. Improving Human-Robot Interaction and Control Through Augmented Reality. Office of Scientific and Technical Information (OSTI), agosto de 2018. http://dx.doi.org/10.2172/1467198.
Texto completo da fonteJiang, Shu, e Ronald C. Arkin. Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2015. http://dx.doi.org/10.21236/ada620347.
Texto completo da fonteScholtz, Jean, Jeff Young, Holly A. Yanco e Jill L. Drury. Evaluation of Human-Robot Interaction Awareness in Search and Rescue. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2006. http://dx.doi.org/10.21236/ada456128.
Texto completo da fonteBagchi, Shelly, Murat Aksu, Megan Zimmerman, Jeremy A. Marvel, Brian Antonishek, Heni Ben Amor, Terry Fong, Ross Mead e Yue Wang. Workshop Report: Test Methods and Metrics for Effective HRI in Collaborative Human-Robot Teams, ACM/IEEE Human-Robot Interaction Conference, 2019. National Institute of Standards and Technology, dezembro de 2020. http://dx.doi.org/10.6028/nist.ir.8339.
Texto completo da fonteBagchi, Shelly, Jeremy A. Marvel, Megan Zimmerman, Murat Aksu, Brian Antonishek, Heni Ben Amor, Terry Fong, Ross Mead e Yue Wang. Workshop Report: Test Methods and Metrics for Effective HRI in Real-World Human-Robot Teams, ACM/IEEE Human-Robot Interaction Conference, 2020 (Virtual). National Institute of Standards and Technology, janeiro de 2021. http://dx.doi.org/10.6028/nist.ir.8345.
Texto completo da fonteSchaefer, Kristin E., Deborah R. Billings, James L. Szalma, Jeffrey K. Adams, Tracy L. Sanders, Jessie Y. Chen e Peter A. Hancock. A Meta-Analysis of Factors Influencing the Development of Trust in Automation: Implications for Human-Robot Interaction. Fort Belvoir, VA: Defense Technical Information Center, julho de 2014. http://dx.doi.org/10.21236/ada607926.
Texto completo da fonteBagchi, Shelly, Jeremy A. Marvel, Megan Zimmerman, Murat Aksu, Brian Antonishek, Xiang Li, Heni Ben Amor, Terry Fong, Ross Mead e Yue Wang. Workshop Report: Novel and Emerging Test Methods and Metrics for Effective HRI, ACM/IEEE Conference on Human-Robot Interaction, 2021. National Institute of Standards and Technology, fevereiro de 2022. http://dx.doi.org/10.6028/nist.ir.8417.
Texto completo da fonte