Dynamic grasp recognition within the framework of programming by demonstration

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Volumn , Issue , 2001, Pages 418-423

  Zollner R ^a   Rogalla, O ^a   Dillmann, R ^a   Zollner J M ^b  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b FZI RESEARCH CENTER FOR INFORMATION TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION METHODS; COMPLEX PROBLEM SOLVING; FINGER MOVEMENTS; GRASP RECOGNITION; HUMAN USERS; PROGRAMMING BY DEMONSTRATION; PROGRAMMING ROBOTS; TACTILE SENSORS;

COMMUNICATION; GESTURE RECOGNITION; ROBOTS; SENSORS; SUPPORT VECTOR MACHINES;

ROBOT PROGRAMMING;

EID: 84881101240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2001.981940     Document Type: Conference Paper

References (32)

1. P. Akalla, R. Siegwart, and M.R. Cutkosky. Manipulation with soft fingers; Contact force control. In Proceedings of the 1991 IEEE International Conference on Robotics and Automation, volume 2, pages 652-657, 1991.
2. P. Berkelman and R. Hollis. Interacting with virtual environments using a magnetic levitation haptic interface. In Proceedings of the 1995 IEEE/RSJ Intelligent Robots and Systems Conference, Pittsburgh, PA, August 1995.
3. M. R. Culkosky. On grasp choice, grasp models, and the design of hands for manufacturing tasks. IEEE Transactions on Robotics and Automation, 5(3):269-279, 1989.
4. 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 9th International Symposium of Robotics Re-search (ISRR 99)., pages 229-238, Snowbird, Utah, USA, 9.-12. Oktober 1999.
5. M. Ehrenmann, D. Ambela, P. Steinhaus, and R. Dillmann. A comparison of four fast vision based object recognition methods for programing by demonstration applications. In Proceedings of the 2000 International Conference on Robotics and Automalion (ICRA), volume 1, pages 1862-1867, San Francisco, Kalifornien, USA, 24.-28. April 2000.
6. M. Ehrenmann, P. Steinhaus, and R. Dillmann. A multi-sensor system for observation of user actions in programing by demonstration. In Proceedings of the IEEE International Conference on Multi Sensor Fusion and Integration (MPI), volume 1, pages 153-158, Taipeh, Taiwan, August 1999.
7. H. Friedrich. Interaktive Prvgrammierung von Manipulationssequenzen. PhD thesis, Universität Karlsruhe, 1998.
8. H. Friedrich, V. Crossmann, M. Ehrenmann, O. Rogalla, R. Zöllner, and R. Dillmann. Towards cognitive elementary operators: grasp classification using neural network classifiers. In Proceedings of the IASTED International Conference on Intelligent Systems and Control (ISC), volume 1, Santa Barbara, Kalifornien, USA, 28.-30. Oktober 1999.
9. D. Gavrila and L. Davis. Towards 3d model-based tracking and recognition of human movement: a multi-view approach. In International Workshon on Face and Gesture Recognition, Zūrich, 1995.
10. J. Gonzalez-Linares, N. Gull, P. Pérez, M. Ehrenmann, and R. Dillmann. An efficient image processing algorithm for high-level skill acquisition. In Proc. of the International Symposium on Assembly and Task Planning (ISATP), Porto, Portugal, pages 262-267, Juli 1999.
11. H. Hashimoto and M. Buss. Skill acquisition for the intelligent assisting system using virtual reality simulator. In Proceedings of the and International Conference on Artificial Reality and Tele-existence, Tokyo, 1992.
12. S. Hirai and H. Asada. A model-based approach to the recognition of assarmbly process states using the theory of polyhedral convex cones. In Proceedings of the 1990 Japan USA Symposium on Flexible Automation, pages 809-816, Kyoto, Japan, 1990.
13. R.D. Howe. Tactile sensing and control of robotic manipulation. In Journat of Advanced Robotics, pages pp 245-261, 1994.
14. T. Joachims. Making large scale SVM learning practical. In B. Sch'llkopf, C.J.C. Burges, and A.J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 169 - 184. Cambridge, MA, MIT press edition, 1999.
15. S. Kang. Robot Instruction by Human Demonstration. PhD thesis, Carnegie Mellon University, Pittsburg. Pennsylvania, 1994.
16. S. Kang and K. Ikeuchi. Toward automatic robot instruction from perception: Mapping human grasps to manipulator grasps. Robotics and Automation, 13(1):81-95, Februar 1997.
17. D.A. Kontarinis, J.S. Son, W. Peine, and R.D, Howe. A tactile shape sensing and display system for teleoperated manipulation. In Proceedings of the 1995 IEEE International Conference on Robotics and Automation, volume 1, liages B41 646, May 1995.
18. Y. Kuniyoshi, M. Inaba, and H. Inoue. Learning by watching: Extracting reusable task knowledge from visual observation of human performance. IEEE Transactions on Robotics and Automation, 10, 1994.
19. Y. Kuniyoshi and H. Inoue. Qualitative recognition of ongoing human action sequences. In 13th International Joint Conference on Artificial Intelligence, 1993.
20. B.J. McCarragher. Force sensing from human demonstration using a hybrid dynamical model and qualitative reasoning. In Proceedings of the 1994 IEEE International Conference on Robotics and Automation, volume 1, pages 557-563, San Diego, May 1994.
21. H.R. Nicholls and M.H. Lee. A survey of robot tactile sensing technology - In International Journal of Robotics Research, pages pp 3-30, June 1989
22. M. Päschke and J. Pauli. Vision based learning of gripper trajectories for a robot arm. In International Symposium on Automotive Technology and Automation (ISATA), Florence, pages 235-242, 1997.
23. J. Rehg and T. Kanade. Visual tracking of high DOF articulated structures: an application to human hand tracking. In ECCV, pages 35-46, 1994.
24. N. Shimada and Y. Shirai. 3d hand pose estimation and shape model refinement from a monocular image sequence. In Proceedings of the VSMM, Gifu, pages 423-428, 1996.
25. M. Skubic, S.P. Castriani, and R.A. Volz. Identifying contact formations from force signals: A comparison of fuzzy and neural network classifiers. In IEEE 1997, volume v. 8, pages 1623-1628, 1997.
26. D. Sturman and D. Zeltzer. A survey on glove-based input. IEEE Computer Graphics and Applications, 14(1):30-39, 1994.
27. K. Tanaka, N. Abe, M. Ooho, and H. Taki. Registration of virtual environment recovered from real one and task teaching. In Proceedings of the IROS 2000, Seoul, Korea, 2000.
28. A. Ude. Rekonstruktion von Trajektorien aus Stereobildfolgen für die Programmierung von Roboterbahnen. PhD thesis, Universität Karlsruhe, 1996. Erschienen in: VDI Verlag, Fortschr. Ber. VDI Reihe 10 Nr. 448. Düsseldorf
29. A. Ude. Filtering in a unit quaternion space for model-based object tracking. Robotics and Autonomous Systems, 28:163-172, 1999.
30. V. Vapnik. Statistical Learning Theory. John Wiley & Sons, Inc., 1998.
31. R.M. Voyles, G. Fedder, and P.K. Khosla. Design of a modular tactil sensor and actuator based on an electrorhe-ological gel. In Proceedings of the 1996 IEEE International Conference an Robotics and Automation, volume 4, pages 1317, April 1996.
32. M. Yamamoto and K. Koshikawa. Human motion analysis based on a robot arm model. In CVPR, pages 664-665, 1991.