Learning of grasp selection based on shape-templates

Autonomous Robots

Volumn 36, Issue 1-2, 2014, Pages 51-65

  Herzog, Alexander ^a   Pastor, Peter ^b   Kalakrishnan, Mrinal ^b   Righetti, Ludovic ^a,b   Bohg, Jeannette ^a   Asfour, Tamim ^c   Schaal, Stefan ^a,b  

^a MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Grasp synthesis; Model free grasping; Template learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; ROBOTS;

GRASP SYNTHESIS; HAND KINEMATICS; MODEL FREE; SELECTION ALGORITHM; SHAPE TEMPLATES; TEMPLATE LEARNING; UNKNOWN OBJECTS; UNSOLVED PROBLEMS;

AGRICULTURAL ROBOTS;

EID: 84891872115     PISSN: 09295593     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10514-013-9366-8     Document Type: Article

References (35)

1. Balasubramanian, R.; Xu, L.; Brook, P. D.; Smith, J. R.; Matsuoka, Y. (2012). Physical human interactive guidance: Identifying grasping principles from human-planned grasps. IEEE Transactions on Robotics, 28(4), 899-910.
2. Bohg, J.; Kragic, D. (2009). Grasping familiar objects using shape context. In International conference on advanced robotics (pp. 1-6).
3. Bohren, J.; Rusu, R.B.; Gil Jones, E.; Marder-Eppstein, E.; Pantofaru, C.; Wise, M.; et al. (2011). Towards autonomous robotic butlers: Lessons learned with the PR2. In IEEE international conference on robotics and automation (pp. 5568-5575).
4. Boularias, A.; Kroemer, O.; Peters, J. (2011). Learning robot grasping from 3-D images with Markov random fields. In IEEE/RSJ international conference on intelligent robots and systems (pp. 1548-1553).
5. Curtis, N.; Xiao, J.; Member, S. (2008). Efficient and effective grasping of novel objects through learning and adapting a knowledge base. In IEEE international conference on robotics and automation (pp. 2252-2257).
6. Detry, R.; Başeski, E.; Popovic, M.; Touati, Y.; Krueger, N.; Kroemer, O.; et al. (2010). Learning continuous grasp affordances by sensorimotor exploration. In From motor learning to interaction learning in robots (pp. 451-465). Heidelberg: Springer.
7. Detry, R.; Ek, C. H.; Madry, M.; Kragic, D. (2013). Learning a dictionary of prototypical grasp-predicting parts from grasping experience. In IEEE international conference on robotics and automation.
8. Diankov, R.; Kuffner, J. (2008). Openrave: A planning architecture for autonomous robotics. Tech. Rep. CMU-RI-TR-08-34. Robotics Institute, Pittsburgh, PA.
9. Erkan, A.; Kroemer, O.; Detry, R.; Altun, Y.; Piater, J.; Peters, J. (2010). Learning probabilistic discriminative models of grasp affordances under limited supervision. In IEEE/RSJ international conference on intelligent robots and systems (pp. 1586-1591).
10. Ferrari, C.; Canny, J. (1992). Planning optimal grasps. In IEEE international conference on robotics and automation (pp. 2290-2295). (Pubitemid 23615307)
11. Goldfeder, C.; Allen, P. (2011). Data-driven grasping. Autonomous Robots, 31, 1-20.
12. Goldfeder, C.; Allen, P. K.; Lackner, C.; Pelossof, R. (2007). Grasp planning via decomposition trees. In IEEE international conference on robotics and automation (pp. 4679-4684). (Pubitemid 350140912)
13. Herzog, A.; Pastor, P.; Kalakrishnan, M.; Righetti, L.; Asfour, T.; Schaal, S. (2012). Template-based learning of grasp selection. In IEEE international conference on robotics and automation (pp. 2379-2384).
14. Hsiao, K.; Chitta, S.; Ciocarlie, M.; Jones, E. G. (2010). Contact-reactive grasping of objects with partial shape information. In IEEE/RSJ international conference on intelligent robots and systems (pp. 1228-1235).
15. Huebner, K.; Welke, K.; Przybylski, M.; Vahrenkamp, N.; Asfour, T.; et al. (2009). Grasping known objects with humanoid robots: A box-based approach. In International conference on advanced robotics (pp. 1-6).
16. Kalakrishnan, M.; Buchli, J.; Pastor, P.; Schaal, S. (2009). Learning locomotion over rough terrain using terrain templates. In IEEE/RSJ international conference on intelligent robots and systems (pp. 167-172).
17. Klingbeil, E.; Rao, D.; Carpenter, B.; Ganapathi, V.; Ng, A. Y.; Khatib, O. (2011). Grasping with application to an autonomous checkout robot. In IEEE international conference on robotics and automation (pp. 2837-2844).
18. Kroemer, O.; Ugur, E.; Oztop, E.; Peters, J. (2012). A kernel-based approach to direct action perception. In IEEE international conference on robotics and automation (pp. 2605-2610).
19. Leon, B.; Ulbrich, S.; Diankov, R.; Puche, G.; Przybylski, M.; Morales, A.; et al. (2010). Opengrasp: A toolkit for robot grasping simulation. In 2nd international conference on simulation, modeling, and programming for autonomous robots.
20. Miller, A. T.; Allen, P. K. (2004). Graspit! A versatile simulator for robotic grasping. IEEE Robotics & Automation Magazine, 11(4), 110-122. (Pubitemid 40145969)
21. Miller, A. T.; Knoop, S.; Christensen, H. I.; Allen, P. K. (2003). Automatic grasp planning using shape primitives. In IEEE international conference on robotics and automation (pp. 1824-1829).
22. Montesano, L.; Lopes, M. (2009). Learning grasping affordances from local visual descriptors. In IEEE international conference on development and learning (pp. 1-6).
23. Papazov, C.; Haddadin, S.; Parusel, S.; Krieger, K.; Burschka, D. (2012). Rigid 3D geometry matching for grasping of known objects in cluttered scenes. The International Journal of Robotics Research, 31(4), 538-553.
24. Popović, M.; Kootstra, G.; Jørgensen, J. A.; Kragic, D.; Krüger, N. (2011). Grasping unknown objects using an early cognitive vision system for general scene understanding. In IEEE/RSJ international conference on intelligent robots and systems (pp. 987-994).
25. Przybylski, M.; Asfour, T. (2010). Unions of balls for shape approximation in robot grasping. In IEEE/RSJ international conference on intelligent robots and systems (pp. 1592-1599).
26. Ratliff, N.; Bagnell, J.; Srinivasa, S. S. (2007). Imitation learning for locomotion and manipulation. In IEEE-RAS international conference on humanoid robots (pp. 392-397).
27. Richtsfeld, M.; Zillich, M. (2008). Grasping unknown objects based on 2.5D range data. In Proceedings of IEEE international conference on automation science and engineering CASE (pp. 691-696).
28. Righetti, L.; Kalakrishnan, M.; Pastor, P.; Binney, J.; Kelly, J.; Voorhies, R.; et al. (2013). An autonomous manipulation system based on force control and optimization. Autonomous Robots Journal Special Issue: Autonomous Grasping and Manipulation. doi: 10.1007/s10514-013-9365-9.
29. Rubio, O.; Huebner, K.; Kragic, D. (2010). Representations for object grasping and learning from experience. In IEEE/RSJ international conference on intelligent robots and systems (pp. 1566-1571).
30. Rusu, R. B.; Cousins, S. (2011). 3D is here: Point Cloud Library (PCL). In IEEE international conference on robotics and automation (pp. 1-4).
31. Saxena, A.; Driemeyer, J.; Ng, A. Y. (2008). Robotic grasping of novel objects using vision. The International Journal of Robotics Research, 27(2), 157-173. (Pubitemid 351169712)
32. Saxena, A.; Wong, L.; Ng, A. Y. (2008). Learning grasp strategies with partial shape information. In AAAI conference on artificial intelligence (pp. 1491-1494).
33. Stark, M.; Lies, P.; Zillich, M.; Wyatt, J.; Schiele, B. (2008). Functional object class detection based on learned affordance cues. In International conference on computer vision systems. LNAI (Vol. 5008, pp. 435-444). Heidelberg: Springer. (Pubitemid 351775987)
34. Stückler, J.; Steffens, R.; Holz, D.; Behnke, S. (2011). Real-time 3D perception and efficient grasp planning for everyday manipulation tasks. In European conference on mobile robots (ECMR). Örebro, Sweden.
35. Ulbrich, S.; Kappler, D.; Asfour, T.; Vahrenkamp, N.; Bierbaum, A.; et al. (2011). The OpenGRASP benchmarking suite: An environment for the comparative analysis of grasping and dexterous manipulation. In IEEE/RSJ international conference on intelligent robots and systems (pp. 1761-1767).