Active learning for vision-based robot grasping

Machine Learning

Volumn 23, Issue 2-3, 1996, Pages 251-278

  Salganicoff, Marcos ^a  

^a Applied Science and Engineering Laboratories   (United States)

Author keywords

Active learning; Grasping; Interval estimation; Manipulation; Robots; Vision

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; LASERS; LEARNING ALGORITHMS; MOTION PLANNING; PARAMETER ESTIMATION; ROBOT LEARNING; ROBOTICS; SCANNING;

ACTIVE LEARNING; INTERVAL ESTIMATION; MANIPULATION; VISION BASED ROBOT GRASPING;

LEARNING SYSTEMS;

EID: 0030145392     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00117446     Document Type: Article

References (7)

1. Aboaf, E.W., Atkeson, C.G. & Reinkensmeyer, D.J. (1988). Task-level robot learning. In Proceedings, 1988 IEEE International Conference on Robotics and Automation, pages 1290-1295. IEEE Press, 1989.
2. Atlas, L., Cohn, D., Ladner, R., El-Sharkawi, M.A., Marks II, R.J., Aggoune, M.E. & Park, D.C. (1990). Training connectionist networks with queries and selective sampling. In Advances in Neural Information Processing Systems 2, pages 567-573. Morgan Kaufmann.
3. Bard, C., Laugier, C., Milesi, C. & Troccaz, J. (in press). Achieving dextrous grasping by integrating planning and vision based sensing. The International Journal of Robotics Research, 1995.
4. Bard, C., Troccaz, J. & Vercelli, G. (1991). Shape analysis and hand preshaping for grasping. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 64-69.
5. Bennett, S (1991). Planning to address uncertainty: An incremental approach employing learning through experience. In Proceedings of the DARPA Workshop on Advanced Planning and Control Strategies, pages 313-324.
6. Berger, J.O. (1985). Statistical decision theory and Bayesian analysis. Springer-Verlag, NY.
7. Box, G.E.P. & Draper, N.R. (1969). Evolutionary Operation: a Statistical Method for Process Improvement. Wiley.