Learning a dictionary of prototypical grasp-predicting parts from grasping experience

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2013, Pages 601-608

  Detry, Renaud ^a   Ek, Carl Henrik ^a   Madry, Marianna ^a   Kragic, Danica ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

REAL-WORLD; ROBOTIC AGENTS; SIMILARITY MEASURE;

ROBOTICS;

EID: 84887312609     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2013.6630635     Document Type: Conference Paper

References (40)

1. J.Aleotti and S.Caselli.Part-based robot grasp planning from human demonstration.In IEEE International Conference on Robotics and Automation, 2011.
2. P.Allen, A.Miller, P.Oh, and B.Leibowitz.Integration of vision, force and tactile sensing for grasping.Int.J.Intelligent Machines, 4(1):129-149, 1999.
3. C.Andrieu, N.de Freitas, A.Doucet, and M.I.Jordan.An introduction to MCMC for machine learning.Machine Learning, 50(1):5-43, January 2003.
4. C.Bard and J.Troccaz.Automatic preshaping for a dextrous hand from a simple description of objects.In IEEE International Workshop on Intelligent Robots and Systems, pages 865-872.IEEE, 1990.
5. P.Besl and N.McKay.A method for registration of 3-d shapes.IEEE Trans.Pattern Anal.Mach.Intell., 14(2):239-256, 1992.
6. A.Bicchi and V.Kumar.Robotic grasping and contact: A review.In IEEE International Conference on Robotics and Automation, 2000.
7. J.Bohg, M.Johnson-Roberson, B.Léon, J.Felip, X.Gratal, N.Bergstrom, D.Kragic, and A.Morales.Mind the gap-robotic grasping under incomplete observation.In IEEE International Conference on Robotics and Automation, pages 686-693, 2011.
8. M.C.Burl, M.Weber, and P.Perona.A probabilistic approach to object recognition using local photometry and global geometry.In European Conference on Computer Vision, pages 628-641, 1998.
9. R.Caflisch.Monte carlo and quasi-monte carlo methods.Acta Numerica, 7:1-49, 1998.
10. J.Coelho, J.Piater, and R.Grupen.Developing haptic and visual perceptual categories for reaching and grasping with a humanoid robot.In Robotics and Autonomous Systems, volume 37, pages 7-8, 2000.
11. C.de Granville, J.Southerland, and A.H.Fagg.Learning grasp affordances through human demonstration.In IEEE International Conference on Development and Learning, 2006.
12. R.Detry.Learning a dictionary of prototypical grasp-predicting parts from grasping experience-dissimilarity measure implementation.URL: http://renaud-detry.net/p/icra2013.
13. R.Detry.Learning of Multi-Dimensional, Multi-Modal Features for Robotic Grasping.PhD thesis, University of Liege, 2010.
14. R.Detry, C.H.Ek, M.Madry, J.Piater, and D.Kragic.Generalizing grasps across partly similar objects.In IEEE International Conference on Robotics and Automation, 2012.
15. R.Detry, D.Kraft, O.Kroemer, L.Bodenhagen, J.Peters, N.Kr̈uger, and J.Piater.Learning grasp affordance densities.Paladyn.Journal of Behavioral Robotics, 2(1):1-17, 2011.
16. R.Detry and J.Piater.Continuous surface-point distributions for 3D object pose estimation and recognition.In Asian Conference on Computer Vision, pages 572-585, 2010.
17. R.Detry and J.Piater.Grasp generalization via predictive parts.In Austrian Robotics Workshop, 2011.
18. P.F.Felzenszwalb and D.P.Huttenlocher.Efficient matching of pictorial structures.In IEEE Conference on Computer Vision and Pattern Recognition, pages 2066-, 2000.
19. M.Fischler and R.Elschlager.The representation and matching of pictorial structures.IEEE Transactions on Computers, 100(1):67-92, 1973.
20. C.Goldfeder, M.Ciocarlie, H.Dang, and P.Allen.The Columbia grasp database.In IEEE International Conference on Robotics and Automation, 2009.
21. A.Herzog, P.Pastor, M.Kalakrishnan, L.Righetti, T.Asfour, and S.Schaal.Template-based learning of grasp selection.In The PR2 Workshop (Workshop at IROS'11), 2011.
22. K.Hsiao, S.Chitta, M.Ciocarlie, and E.Jones.Contact-reactive grasping of objects with partial shape information.In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1228-1235, 2010.
23. I.Kamon, T.Flash, and S.Edelman.Learning to grasp using visual information.In IEEE International Conference on Robotics and Automation, volume 3, pages 2470-2476, 1996.
24. J.Kim.M.eng.Master's thesis, Massachusetts Institute of Technology, 2007.
25. S.Kirkpatrick, C.D.Gelatt, and M.P.Vecchi.Optimization by simulated annealing.Science, 220(4598):671-680, 1983.
26. E.Klingbeil, D.Rao, B.Carpenter, V.Ganapathi, A.Ng, and O.Khatib.Grasping with application to an autonomous checkout robot.In IEEE International Conference on Robotics and Automation, 2011.
27. D.Kragic, A.T.Miller, and P.K.Allen.Real-time tracking meets online grasp planning.In IEEE International Conference on Robotics and Automation, pages 2460-2465, 2001.
28. O.Kroemer, E.Ugur, E.Oztop, and J.Peters.A kernel-based approach to direct action perception.In IEEE International Conference on Robotics and Automation, 2012.
29. A.T.Miller, S.Knoop, H.Christensen, and P.K.Allen.Automatic grasp planning using shape primitives.In IEEE International Conference on Robotics and Automation, volume 2, pages 1824-1829, 2003.
30. L.Montesano and M.Lopes.Learning grasping affordances from local visual descriptors.In IEEE International Conference on Development and Learning, 2009.
31. A.Morales, E.Chinellato, A.H.Fagg, and A.P.del Pobil.Using experience for assessing grasp reliability.International Journal of Humanoid Robotics, 1(4):671-691, 2004.
32. M.Popovíc, D.Kraft, L.Bodenhagen, E.Başeski, N.Pugeault, D.Kragic, T.Asfour, and N.Kr̈uger.A strategy for grasping unknown objects based on co-planarity and colour information.Robotics and Autonomous Systems, 2010.
33. A.Saxena, J.Driemeyer, and A.Y.Ng.Robotic Grasping of Novel Objects using Vision.International Journal of Robotics Research, 27(2):157, 2008.
34. B.Scḧolkopf and A.Smola.Kernel principal component analysis.Artificial Neural Networks-ICANN'97, 1997.
35. G.Schwarz.Estimating the dimension of a model.The Annals of Statistics, 6(2):461-464, 1978.
36. J.Shi and J.Malik.Normalized cuts and image segmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):888-905, 2000.
37. K.B.Shimoga.Robot grasp synthesis algorithms: A survey.The International Journal of Robotics Research, 15(3):230, 1996.
38. J.D.Sweeney and R.Grupen.A model of shared grasp affordances from demonstration.In International Conference on Humanoid Robots, 2007.
39. S.Thrun and B.Wegbreit.Shape from symmetry.In IEEE International Conference on Computer Vision, volume 2, pages 1824-1831, 2005.
40. L.E.Zhang, M.Ciocarlie, and K.Hsiao.Grasp evaluation with graspable feature matching.In RSS Workshop on Mobile Manipulation: Learning to Manipulate, 2011.