Rachid Alami
ABSTRACT
Human-robot interaction requires explicit reasoning on the human environment and on the robot capacities to achieve its tasks in a collaborative way with a human partner.This paper focuses on organization of the robot decisional abilities and more particularly on the management of human interaction as an integral part of the robot control architecture. Such an architecture should be the framework that will allow the robot to accomplish its tasks but also produce behaviors that support its engagement vis-a-vis its human partner and interpret similar behaviors from him.Together and in coherence with this framework, we intend to develop and experiment various task planners and interaction schemes, that will allow the robot to select and perform its tasks while taking into account explicitly the constraints imposed by the presence of humans, their needs and preferences.We have considered a scheme where the robot plans for itself and for the human in order not only (1) to assess the feasibility of the task (at a certain level) before performing it, but also (2) to share the load between the robot and the human and (3) to explain/illustrate a possible course of action.
- J. Allen, G. Ferguson. "Human-Machine Collaborative Planning", In Proceedings of the Third International NASA Workshop on Planning and Scheduling for Space, 2002.Google Scholar
- R. Alami, R. Chatila, S. Fleury, M. Ghallab, F. Ingrand, "An architecture for autonomy", International Journal of Robotic Research, Vol. 17, No. 4, pp. 315--337, April 1998.Google ScholarCross Ref
- R. Alami, T Simeon, and K. Madhava Krishna. "On the influence of sensor capacities and environment dynamics onto collision-free motion plans." Proc. in IEEE International Conference on Intelligent Robots and Systems, 2002.Google ScholarCross Ref
- G. Bailly, M. Berar, F. Elisei, and M. Odisio, "Audiovisual speech synthesis", International Journal of Speech Technology, 6:331--346, 2003.Google ScholarCross Ref
- C. Breazeal, G. Hoffman, and A. Lockerd, "Teaching and Working with Robots as a Collaboration," Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2004. Google ScholarDigital Library
- C. Breazeal, "A Motivational System for Regulating Human-Robot Interaction," Proceedings of National Conference of American Association for Artificial Intelligence (AAAI), 1998. Google ScholarDigital Library
- L. Brethees, P. Menezes, F. Lerasle, and J. Hayet, "Face tracking and hand gesture recognition for human robot interaction," International Conference on Robotics and Automation (ICRA), New Orleans, pp. 1901--1906, 2004.Google Scholar
- R. Chatila, R. Alami, T. Simeon, J. Pettre, L. Jaillet, "Safe, reliable and friendly interaction between humans and humanoids", Rapport LAAS No02530, 3rd 3rd IARP International Workshop on Humanoid and Human Friendly Robotics, Tsukuba (Japan), 11--12 December 2002, pp. 83--87Google Scholar
- A. Clodic, S. Fleury, R. Alami, M. Herrb, R. Chatila, "Supervision and Interaction: Analysis from an Autonomous Tour-guide Robot Deployment," International Conference on Advanced Robotic (ICAR), 2005.Google Scholar
- A. Clodic, V. Montreuil, R. Alami, R. Chatila, "A Decisional Framework for Autonomous Robots Interacting with Humans," 14th IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN 05), Nashville, USA, August 2005.Google Scholar
- P. Cohen and H. Levesque, "Intention is Choice with Commitment," Artificial Intelligence, vol. 42, pp. 213--261, 1990. Google ScholarDigital Library
- P. R. Cohen, and H. J. Levesque. "Teamwork". Nous, Special Issue on Cognitive Science and AI, 25, 25(4): 487--512, 1991.Google Scholar
- G. A. Fink, J. Fritsch, S. Hohenner, M. Kleinehagenbrock, S. Lang, and G. Sagerer. "Towards multi-modal interaction with a mobile robot". Pattern Recognition and Image Analysis, 14(2):173--184, 2004.Google Scholar
- T. Fong, I. Nourbakhsh, K. Dautenhahn. " A survey of socially interactive robots," Robotics and Autonomous Systems, Special issue on Socially Interactive Robots, 42 (3--4), pp 143--166, 2003.Google Scholar
- T.W. Fong, C. Thorpe, and C. Baur, "Collaboration, Dialogue, and Human-Robot Interaction," Proceedings of the 10th International Symposium of Robotics Research, Lorne, Victoria, Australia, Springer-Verlag, London, November, 2001.Google Scholar
- N. Jennings, "Specification and Implementation of a Belief-Desire-Joint-Intention Architecture for Collaborative Problem Solving," International Journal of Intelligent and Cooperative Information Systems, vol. 2, no. 3, pp. 289--318, 1993.Google ScholarCross Ref
- K. Kawamura and P. Nilas and K. Muguruma and J. A. Adams and C. Zhou, "An Agent-Based Architecture for an Adaptive Human-Robot Interface", Hawaii International Conference on System Sciences (HICSS'03), 2003. Google ScholarDigital Library
- D. Kulic and E. Croft. "Safe planning for human-robot interaction", Proc. in IEEE International Conference on Robotics & Automation, New Orleans, LA, 2004.Google ScholarCross Ref
- H. J. Levesque, P. R. Cohen, and J. H. T. Nunes. "On acting together." In Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90), pages 94--99, 1990.Google Scholar
- V. Montreuil, R. Alami "Report on Paradigms for Decisional Interaction" Cogniron Deliverable D6.2.1, LAAS Internal Report, January 2005.Google Scholar
- H. Nakajima, et al, "Toward an Actualization of Social Intelligence in Human and Robot Collaborative Systems," International Conference on Intelligent Robots and Systems (IROS), 2004.Google Scholar
- D. Nau, T.-C. Au, O. Ilghami, U. Kuter, W. Murdock, D. Wu, and F. Yaman. SHOP2: An HTN Planning System. JAIR, volume 20, pp. 379--404, 2003. Google Scholar
- S. Nonaka, K. Inoue, T. Arai and Y. Mae, "Evaluation of Human Sense of Security for Coexisting Robots using Virtual Reality," Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2004.Google Scholar
- E. A. Sisbot, R. Alami and T. Simeon, K. Dautenhahn, M. Walters, S. Woods, K. L. Koay and C. Nehaniv, "Navigation in the Presence of Human", IEEE-RAS International Conference on Humanoid Robots, Humanoids2005, Tsukuba, Japan, December 2005.Google Scholar
- P. Scerri, et al, "A Prototype Infrastructure for Distributed Robot-Agent-Person Teams," The Second International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2003. Google ScholarDigital Library
- P. Scerri, et al, "Team Oriented Programming and Proxy Agents: The Next Generation," Proceedings of the First International Workshop on Programming Multiagent Systems, (2004).Google Scholar
- Sidner, C.; Lee, C.; Kidd, C.; Lesh, N., "Explorations in Engagement for Humans and Robots", IEEE RAS/RSJ International Conference on Humanoid Robots, November 2004.Google Scholar
- A. Sisbot, R. Alami "Architecture of the placement planner for human-robot close interaction" Cogniron Deliverable D3.5.1, LAAS Internal Report, January 2005.Google Scholar
- M. Tambe, "Agent Architectures for Flexible, Practical Teamwork," Proceedings of the National Conference on Artificial Intelligence (AAAI), 1997. Google ScholarDigital Library
- Task planning for human-robot interaction
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