Incremental learning of tasks from user demonstrations, past experiences, and vocal comments

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 37, Issue 2, 2007, Pages 322-332

  Pardowitz, Michael ^a   Knoop, Steffen ^a   Dillmann, Ruediger ^a   Zollner, Raoul D ^b  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

Human robot interaction; Programming by demonstration; Task learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DEMONSTRATIONS; ESTIMATION; MANIPULATORS; ROBOT LEARNING; USER INTERFACES;

HUMAN-ROBOT INTERACTION; PROGRAMMING BY DEMONSTRATION; TASK LEARNING; USER DEMONSTRATIONS;

ANTHROPOMORPHIC ROBOTS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOMIMETICS; CYBERNETICS; HUMAN; IMITATION; MAN MACHINE INTERACTION; METHODOLOGY; PHYSIOLOGY; ROBOTICS; SPEECH PERCEPTION; TASK PERFORMANCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMIMETICS; CYBERNETICS; HUMANS; IMITATIVE BEHAVIOR; MAN-MACHINE SYSTEMS; ROBOTICS; SPEECH PERCEPTION; TASK PERFORMANCE AND ANALYSIS;

EID: 34047152757     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2006.886951     Document Type: Article

References (22)

1. R. Dillmann, O. Rogalla, M. Ehrenmann, R. Zöllner, and M. Bordegoni, "Learning robot behaviour and skills based on human demonstration and advice: The machine learning paradigm," in Proc. 9th ISRR, Snowbird, UT, Oct. 9-12, 1999, pp. 229-238.
2. S. Schaal, "Is imitation learning the rout to humanoid robots?" Trends Cogn. Sci., vol. 3, no. 6, pp. 233-242, Jun. 1999.
3. M. Kaiser and R. Dillmann, "Hierarchical learning of efficient skill application for autonomous robots," in Proc. Int. Symp. Intell. Robot. Syst., 1995, pp. 28-33. [Online]. Available: Citeseer.ifi.unizh.ch/kaiser95hierarchical.html
4. C. Atkeson and S. Schaal, "Robot learning from demonstration," in Proc. 14th ICML, D. H. Fisher Jr., Ed., 1997, pp. 12-20.
5. S. Calinon and A. Billard, Learning of Gestures by Imitation in a Humanoid Robot. Cambridge, U.K.: Cambridge Univ. Press, 2005. In Press.
6. A. Alissandriakis, C. Nehaniv, K. Dautenhahn, and J. Saunders, "Using Jabberwocky to achieve corresponding effects: Imitating in context across multiple platforms," in Proc. Workshop Social Mechanisms Robot Program. Demonstration, ICRA, 2005, pp. 9-12.
7. Y. Sato, K. Bernardin, H. Kimura, and K. Ikeuchi, "Task analysis based on observing hands and objects by vision," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., Lausanne, Switzerland, 2002, pp. 1208-1213.
8. Y. Kuniyoshi, M. Inaba, and H. Inoue, "Learning by watching: Extracting reusable task knowledge from visual observation of human performance," IEEE Trans. Robot. Autom., vol. 10, no. 6, pp. 799-822, Dec. 1994.
9. J. Aleotti, S. Caselli, and M. Reggiani, "Toward programming of assembly tasks by demonstration in virtual environments," in Proc. Int. Workshop Robot and Human Interactive Commun., Millbrae, CA, Oct. 31-Nov. 2, 2003, pp. 309-314.
10. R. Zoellner, M. Pardowitz, S. Knoop, and R. Dillmann, "Towards cognitive robots: Building hierarchical task representations of manipulations from human demonstration," in Proc. ICRA, Barcelona, Spain, 2005, pp. 1535-1540.
11. J. Chen and A. Zelinsky, "Programming by demonstration: Coping with suboptimal teaching actions," Int. J. Rob. Res., vol. 22, no. 5, pp. 299-319, May 2003.
12. M. Nicolescu and M. Mataric, "Natural methods for robot task learning: Instructive demonstrations, generalization and practice," in Proc. 2nd Int. Joint Conf. Anton. Agents and Multiagent Syst., 2004, pp. 241-248.
13. R. S. Sutton, D. Precup, and S. P. Singh, "Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning," Artif. Intell., vol. 112, no. 1/2, pp. 181-211, Aug. 1999. [Online]. Available: citeseer.ist.psu.edu/sutton99between.html
14. D. Newtson, G. Engquist, and J. Bois, "The objective basis of behavior units," J. Pers. Soc. Psychol., vol. 35, no. 12, pp. 847-862, 1977.
15. M. Ehrenmann, R. Zöllner, O. Rogalla, and R. Dillmann, "Programming service tasks in household environments by human demonstration," in Proc. 11th IEEE Int. Workshop Robot and Human Interactive Commun. (ROMAN), Berlin, Germany, Sep. 25-27, 2002, pp. 460-467.
16. R. Zoellner and R. Dillmann, "Using multiple probabilistic hypothesis for programming one and two hand manipulation by demonstration," in Proc. IEEE/RSJ Int. Conf. IROS, Las Vegas, NV, Oct. 2003, pp. 2926-2931.
17. H. Friedrich, V. Grossmann, M. Ehrenmann, O. Rogalla, R. Zöllner, and R. Dillmann, "Towards cognitive elementary operators: Grasp classification using neural network classifiers," in Proc. IASTED Int. Conf. ISC, Santa Barbara, CA, Oct. 1999, vol. 1, pp. 121-126.
18. K. Erol, J. Hendler, and D. S. Nauin "Semantics for HTN planning," Univ. Maryland, College Park, MD, Tech. Rep. CS-TR-3239, 1994. [Online]. Available: Citeseer.ist.psu.edu/ero194semantics.html
19. R. M. G. DeJong, "Explanation-based learning - An alternative view," in Mach. Learn., vol. 1, 1986, pp. 145-176.
20. T. M. Mitchell, "Generalization as search," Artif. Intell., vol. 18, no. 2, pp. 203-226, 1982.
21. S. Calinon and A. Billard, "Stochastic gesture production and recognition model for a humanoid robot," in Proc IEEE/RSJ Int. Conf. IROS, 2004, pp. 2769-2774.
22. R. G. P. Smyth, "Rule induction using information theory," in Knowledge Discovery in Databases. Cambridge, MA: MIT Press, 1991, pp. 159-176.