Learning flexible, multi-modal human-robot interaction by observing human-human-interaction

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Volumn , Issue , 2010, Pages 582-587

  Schmidt Rohr, Sven R ^a   Lösch, Martin ^a   Dillmann, Rüdiger ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION EFFECT; ACTION SELECTION; DYNAMIC ACTIONS; EVALUATION SYSTEM; EXECUTION TIME; HUMAN BEHAVIORS; HUMAN BODIES; HUMAN ROBOT INTERACTIONS; HUMAN-HUMAN INTERACTIONS; HUMANINTERACTION; MULTI-MODAL; SERVICE ROBOTS; SYMBOLIC STATE;

BEHAVIORAL RESEARCH; HUMAN COMPUTER INTERACTION; MAN MACHINE SYSTEMS; STOCHASTIC MODELS;

HUMAN ROBOT INTERACTION;

EID: 78649820074     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2010.5598670     Document Type: Conference Paper

References (15)

1. A. R. Cassandra, L. P. Kaelbling, and M. L. Littman, "Acting optimally in partially observable stochastic domains," in In Proceedings of the Twelfth National Conference on Artificial Intelligence, 1994.
2. H. Kurniawati, D. Hsu, and W. Lee, "SARSOP: Efficient point-based POMDP planning by approximating optimally reachable belief spaces," in Proc. Robotics: Science and Systems, 2008.
3. M. Lösch, S. Schmidt-Rohr, S. Knoop, S. Vacek, and R. Dillmann, "Feature set selection and optimal classifier for human activity recognition," in RO-MAN, 2007.
4. S. R. Schmidt-Rohr, S. Knoop, M. Lösch, and R. Dillmann, "Bridging the gap of abstraction for probabilistic decision making on a multi-modal service robot," in Robotics: Science and Systems, Zürich, 2008.
5. J. D. Williams, P. Poupart, and S. Young, "Using factored partially observable markov decision processes with continuous observations for dialogue management," Cambridge University Engineering Department Technical Report: CUED/F-INFENG/TR.520, Tech. Rep., March 2005.
6. F. Broz, I. Nourbakhsh, and R. Simmons, "Planning for human-robot interaction using time-state aggregated pomdps," in AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence. AAAI Press, 2008.
7. J. Hoey, A. von Bertoldi, P. Poupart, and A. Mihailidis, "Assisting persons with dementia during handwashing using a partially observable markov decision process," in ICVS, Bielefeld, Germany, 2007.
8. R. Jaulmes, J. Pineau, and D. Precup, "A formal framework for robot learning and control under model uncertainty," in Robotics and Automation, 2007 IEEE International Conference on, April 2007.
9. E. Meisner, S. Das, V. Isler, J. Trinkle, S. Sabanovic, and L. Caporael, "Predictive state representations for grounding human-robot communication," in Proc. IEEE Int. Conf. on Robotics and Automation, 2010, to appear.
10. S. Ekvall, D. Aarno, and D. Kragic, "Task learning using graphical programming and human demonstrations," in Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on, Sept. 2006, pp. 398-403.
11. H. Veeraraghavan and M. M. Veloso, "Learning task specific plans through sound and visually interpretable demonstrations," in IROS, 2008.
12. M. Tenorth and M. Beetz, "KnowRob-Knowledge Processing for Autonomous Personal Robots," in IEEE/RSJ International Conference on Intelligent RObots and Systems. To appear., 2009.
13. R. Groten, D. Feth, A. Peer, and M. Buss, "Shared decision making in a collaborative task with reciprocal shared decision making in a collaborative task with reciprocal haptic feedback-an efficiencyanalysis," in Proc. IEEE Int. Conf. on Robotics and Automation, 2010.
14. K. E. Boyer, E. Ha, M. D. Wallis, R. Phillips, M. A. Vouk, and J. C. Lester, "Discovering tutorial dialogue strategies with hidden markov models," in AIED, 2009.
15. S. Ong, S. Png, D. Hsu, and W. Lee, "POMDPs for robotic tasks with mixed observability," in Proc. Robotics: Science and Systems, 2009.