Learning task models from multiple human demonstrations

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Volumn , Issue , 2006, Pages 358-363

  Ekvall, Staffan ^a   Kragic, Danica ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

REVERSE OSMOSIS; ROBOTICS;

BEST STRATEGIES; IDENTIFICATION METHODS; INPUT DATUMS; LEARNING TASKS; NOVEL METHODS; ROBOT TASKS; TASK LEVELS; TASK MODELS; TASK PLANS;

ROBOTS;

EID: 34948873779     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2006.314460     Document Type: Conference Paper

References (14)

1. Y. Kuniyoshi, M. Inaba, and H. Inoue, "Learning by watching, extracting reusable task knowledge from visual observation of human performance," in IEEE Transactions on Robotics and Automation, vol. 10(6), pp. 799-822, 1994.
2. C. Atkeson and S. Schaal, "Robot learning from demonstration," in In Machine Learning: Proceedings of the Fourteenth International Conference (ICML '97) (ed. D. H. Fisher Jr.), pp. 12-20, July 1997.
3. M. J. Matarić, "Getting humanoids to move and imitate," in IEEE Intelligen Systems, pp. 18-24, Jul 2000.
4. K.Ogawara, J.Takamatsu, K.Kimura, and K.Ikeuchi, "Generation of a task model by intergrating multiple observations of human demonstrations," in Proceedings of the IEEE Intl. Conf. on Robotics and Automation (ICRA '02), pp. 1545-1550, May 2002.
5. H. Friedrich, R. Dillmann, and O. Rogalla, "Interactive Robot Programming Based on Human Demonstration and Advice," in Sensor Based Intelligent Robots, pp. 96-119, 1998.
6. M. Ehrenmann, O. Rogalla, R. Zllner, and R. Dillmann, "Teaching service robots complex tasks: Programming by demonstration for workshop and household environments," in Proceedings of the 2001 International Conference on Field and Service Robots(FSR), pp. 397-402, 2001.
7. J. Aleotti, S. Caselli, and M. Reggiani, "Leveraging on a virtual environment for robot programming by demonstration," in Robotics and Autonomous Systems, Special issue: Robot Learning from Demonstration, vol. 47, pp. 153-161, 2004.
8. S. Ekvall and D. Kragic, "Grasp recognition for programming by demonstration," in IEEE/RSJ International Conference on Robotics and Automation, 1CRA'05, 2005.
9. S. Ekvall and D. Kragic, "Integrating object and grasp recognition for dynamic scene interpretation," in IEEE International Conference on Advanced Robotics, ICAR '05, 2005.
10. P. Jensfelt, S. Ekvall, D. Kragic, and D. Aarno, "Integrating slam and object detection for service robot tasks," in IEEE International Conference on Intelligent Robots and Systems, IROS '04, Workshop on Mobile Manipulators: Basic Techniques, New Trends and Applications, 2005.
11. M. N. Nicolescu and M. J. Matarić, "Natural methods for robot task learning: Instructive demonstrations, generalization and practice," in Proceedings of the Second International Joint Conference on Autonomous Agens and Mulll Agent Systems, 2003.
12. H. Friedrich, R. Dillmann, and O. Rogalla, "Interactive robot programming based on human demonstration and advice," in Christensen at al (eds.)-.Sensor Based Intelligent Robots, LNAI1724, pp. 96-119, 1999.
13. R. E. Fikes and N. J. Nilsson, "Strips: A new approach to the application of theorem proving to problem solving," Artificial Intelligence 2, pp. 189-205, 1971.
14. R. Bohlin and L. Kavraki, "Path planning using lazy prm," in Proceedings of the International Conference on Robotics and Automation, pp. 521-528, 2000.