Online learning of varying stiffness through physical human-robot interaction

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2012, Pages 1842-1849

  Kronander, Klas ^a   Billard, Aude ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

E-LEARNING; HUMAN COMPUTER INTERACTION; ROBOT PROGRAMMING; STIFFNESS; TEACHING;

ONLINE LEARNING; PHYSICAL HUMAN-ROBOT INTERACTIONS; PHYSICAL INTERACTIONS; PROGRAMMING BY DEMON-STRATION; TASK EXECUTIONS; TEACHING ROBOTS; VARYING STIFFNESS;

HUMAN ROBOT INTERACTION;

EID: 84864429731     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2012.6224877     Document Type: Conference Paper

References (18)

1. N. Hogan, "Impedance control: An approach to manipulation," Journal of Dynamic Systems Measurement and Control (1985), no. March, pp. 304-313, 1985.
2. D. Mitrovic, S. Klanke, and S. Vijayakumar, "Learning Impedance Control of Antagonistic Systems Based on Stochastic Optimization Principles," The International Journal of Robotics Research, Dec. 2010.
3. M. Howard, D. Mitrovic, and S. Vijayakumar, "Transferring impedance control strategies between heterogeneous systems via apprenticeship learning," in Humanoid Robots (Humanoids), 2010 10th IEEE-RAS International Conference on. IEEE, 2010, pp. 98-105.
4. M. Garabini, A. Passaglia, F. Belo, P. Salaris, and A. Bicchi, "Optimality Principles in Variable Stiffness Control : The VSA Hammer," in International Conference on Intelligent Robots and Systems (IROS), 2011.
5. J. Buchli, E. Theodorou, F. Stulp, and S. Schaal, "Variable impedance control a reinforcement learning approach," RSS, vol. 100, no. 1, 2010.
6. P. Kormushev, S. Calinon, and D. Caldwell, "Robot motor skill coordination with em-based reinforcement learning," in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on. IEEE, 2010, pp. 3232-3237.
7. B. D. Argall, S. Chernova, M. Veloso, and B. Browning, "A survey of robot learning from demonstration," Robotics and Autonomous Systems, vol. 57, no. 5, pp. 469-483, May 2009.
8. L. Rozo, P. Jimenez, and C. Torras, "Robot Learning from Demonstration of Force-based Tasks with Multiple Solution Trajectories," in 15th International Conference on Advanced Robotics (ICAR), 2011, pp. 124-129.
9. P. Kormushev, S. Calinon, and D. Caldwell, "Imitation Learning of Positional and Force Skills Demonstrated via Kinesthetic Teaching and Haptic Input," Advanced Robotics, pp. 1-20.
10. D. S. Walker and R. P. Wilson, "User-Controlled Variable Impedance Teleoperation," in International Conference on Robotics and Automation, 2010, pp. 5352-5357.
11. H. Gomi and Kawato, "Equilibrium-point control hypothesis examined by measured arm stiffness during multijoint movement." Science (New York, N.Y.), vol. 272, no. 5258, pp. 117-20, Apr. 1996.
12. E. Burdet, R. Osu, D. W. Franklin, T. E. Milner, and M. Kawato, "The central nervous system stabilizes unstable dynamics by learning optimal impedance." Nature, vol. 414, no. 6862, pp. 446-9, Nov. 2001.
13. G. Ganesh, A. Albu-Schaffer, M. Haruno, M. Kawato, and E. Burdet, "Biomimetic motor behavior for simultaneous adaptation of force, impedance and trajectory in interaction tasks," in Robotics and Automation (ICRA), 2010 IEEE International Conference on. IEEE, 2010, pp. 2705-2711.
14. S. Calinon, I. Sardellitti, and D. Caldwell, "Learning-based control strategy for safe human-robot interaction exploiting task and robot redundancies," in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on. IEEE, 2010, pp. 249-254.
15. a. Billard, "Discovering optimal imitation strategies," Robotics and Autonomous Systems, vol. 47, no. 2-3, pp. 69-77, Jun. 2004.
16. B. Argall, E. Sauser, and A. Billard, "Tactile guidance for policy refinement and reuse," in Development and Learning (ICDL), 2010 IEEE 9th International Conference on. IEEE, 2010, pp. 7-12.
17. D. Lee and C. Ott, "Incremental motion primitive learning by physical coaching using impedance control," in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ, 2010, pp. 4133-4140.
18. S. Khansari-Zadeh and A. Billard, "Learning stable non-linear dynamical systems with Gaussian Mixture Models," IEEE Transactions on Robotics, vol. 27, pp. 1-15, 2011.