Learning to grasp unknown objects based on 3D edge information

Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA

Volumn , Issue , 2009, Pages 421-428

  Bodenhagen, Leon ^a   Kraft, Dirk ^a   Popović, Mila ^a   Başeski, Emre ^a   Hotz, Peter Eggenberger ^a   Krüger, Norbert ^a  

^a UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIOR-BASED; EDGE INFORMATION; ONLINE LEARNING SCHEME; PERFORMANCE IMPROVEMENTS; PREDICTION FUNCTION; RADIAL BASIS FUNCTIONS; SEMI-GLOBAL; SIGMOID ACTIVATION FUNCTION; UNKNOWN OBJECTS;

RADIAL BASIS FUNCTION NETWORKS; ROBOTICS; THREE DIMENSIONAL;

NEURAL NETWORKS;

EID: 77951194209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIRA.2009.5423169     Document Type: Conference Paper

References (22)

1. M. Popović, D. Kraft, L. Bodenhagen, E. Başeski, N. Pugeault, D. Kragic, and N. Krüger, "An adaptive strategy for grasping unknown objects based on co-planarity and colour information," vol. (submitted), 2009.
2. D. Aarno, J. Sommerfeld, D. Kragic, N. Pugeault, S. Kalkan, F. Wörgötter, D. Kraft, and N. Krüger, "Early reactive grasping with second order 3d feature relations," in Recent Progress in Robotics: Viable Robotic Service to Human. Springer Berlin / Heidelberg, 2008, pp. 91-105.
3. R. Suárez, M. Roa, and J. Cornella, "Grasp quality measures," Institut d'Organització i Control de Sistemes Industrials, Universitat Politècnica de Catalunya., Tech. Rep., 2006.
4. C. Borst, M. Fischer, and G. Hirzinger, "Grasping the Dice by Dicing the Grasp," in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2003.
5. M. Richtsfeld and M. Vincze, "Robotic grasping from a single view," in 18th International Workshop on Robotics in Alpe-Adria-Danube Region, 2009.
6. K. I. Easton and A. Martinoli, "Efficiency and optimization of explicit and implicit communication schemes in collaborative robotics experiments." in 2002 IEEE/RSJ international conference on intelligent robots and systems, 2002.
7. G. Taylor and L. Kleeman, "Grasping unknown objects with a humanoid Robot," Proceedings 2002 Australasian Conference on Robotics and Automation, pp. 191-196, 2002.
8. A. Saxena, J. Driemeyer, and A. Y. Ng, "Robotic grasping of novel objects using vision," International Journal of Robotics Research (IJRR), 2008.
9. I. Kamon, T. Flash, and S. Edelman, "Learning to grasp using visual information," in in Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 1994, pp. 2470-2476.
10. J. Zhang and B. Rössler, "Self-valuing learning and generalization with application in visually guided grasping of complex objects," Robotics and Autonomous Systems, vol.47, no.2-3, pp. 117-127, 2004, robot Learning from Demonstration.
11. E. Chinellato, A. Morales, R. B. Fischer, and A. P. d. Pobil, "Visual quality measures for characterizing planar robot grasps," in IEEE transactions on systems, man and cybernetics, 2005.
12. A. Morales, E. Chinellato, H. Fagg, and A. del Pobil, "Using experience for assessing grasp reliability," International Journal of Humanoid Robotics, vol.1(4), pp. 671-691, December 2004.
13. J. Speth, A. Morales, and P. Sanz, "Vision-based grasp planning of 3d objects by extending 2d contour based algorithms," in Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on, Sept. 2008, pp. 2240-2245.
14. N. Krüger, M. Lappe, and F. Wörg̈otter, "Biologically Motivated Multi-modal Processing of Visual Primitives," The Interdisciplinary Journal of Artificial Intelligence and the Simulation of Behaviour, vol.1, no.5, pp. 417-428, 2004.
15. N. Pugeault, F. Wörgötter, and N. Krüger, "Accumulated Visual Representation for Cognitive Vision," In Proceedings of the British Machine Vision Conference (BMVC), 2008.
16. N. Pugeault, "Early cognitive vision: Feedback mechanisms for the disambiguation of early visual representation," Ph.D. dissertation, Informatics Institute, University of Göttingen, 2008.
17. E. Başeski, L. Bodenhagen, N. Pugeault, S. Kalkan, J. Piater, and N. Krüger, "Using 3d contours and their relations for cognitive vision and robotics," in Proceedings of the 24th International Symposium on Computer and Information Sciences (ISCIS 2009), Special Session on Cognitive Cybernetics and Brain Modeling, 2009.
18. R. Hunt, Measuring Colour. 3rd edition. Fountain Press, Kingstonupon-Thames, 1998.
19. T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, and A. Wu, "An efficient k-means clustering algorithm: Analysis and implementation," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.24, no.7, pp. 881-892, Jul 2002.
20. R. Tibshirani, G. Walther, and T. Hastie, "Estimating the number of clusters in a data set via the gap statistics," Royal Statistical Society, vol.63, Part 2, pp. 411-423, 2001. (Pubitemid 33267694)
21. M. Orr, "Introduction to radial basis function networks," Institute for Adaptive and Neural Computation, Devision of Informatics, Edinburgh University, Tech. Rep., April 1996.
22. G. F. Luger, Artificial Intelligence - Structures and Strategies for Complex Problem Solving, 5th ed. Addison Wesley, 2005.