Enhancing visual perception of shape through tactile glances

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2013, Pages 3180-3186

  Bjorkman, Marten ^a   Bekiroglu, Yasemin ^a   Hogman, Virgile ^a   Kragic, Danica ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

INITIAL HYPOTHESIS; LEARNING OBJECT MODEL; PHYSICAL INTERACTIONS; PROBABILISTIC APPROACHES; SENSORY MEASUREMENT; TACTILE PERCEPTION; UNKNOWN OBJECTS; VISUAL PERCEPTION;

INTELLIGENT ROBOTS;

MODELS;

EID: 84891043014     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2013.6696808     Document Type: Conference Paper

References (27)

1. N. Gaissert and C. Wallraven, "Integrating visual and haptic shape information to form a multimodal perceptual space," in IEEE World Haptics Conference (WHC), June 2011, pp. 451-456.
2. M. O. Ernst and M. S. Banks, "Humans integrate visual and haptic information in a statistically optimal fashion," Nature, vol. 415, no. 6870, pp. 429-433, 2002.
3. H. B. Helbig and M. O. Ernst, "Optimal integration of shape information from vision and touch," Experimental Brain Research, vol. 179, no. 4, pp. 595-606, 2007.
4. J. Bohg, M. Johnson-Roberson, B. Leon, J. Felip, X. Gratal, N. Bergstrom, D. Kragic, and A. Morales, "Mind the gap-robotic grasping under incomplete observation," in IEEE Int. Conf. Robotics and Automation (ICRA), May 2011, pp. 686-693.
5. M. Krainin, P. Henry, X. Ren, and D. Fox, "Manipulator and object tracking for in-hand 3d object modeling," Int. J. Robotics Research, vol. 30, no. 11, pp. 1311-1327, September 2011.
6. M. Meier, M. Schopfer, R. Haschke, and H. Ritter, "A probabilistic approach to tactile shape reconstruction," IEEE Trans. Robot., vol. 27, no. 3, pp. 630-635, June 2011.
7. S. Dragiev, M. Toussaint, and M. Gienger, "Gaussian process implicit surfaces for shape estimation and grasping," in IEEE Int. Conf. Robotics and Automation (ICRA), May 2011, pp. 2845-2850.
8. A. Bierbaum, M. Rambow, T. Asfour, and R. Dillmann, "A potential field approach to dexterous tactile exploration of unknown objects." in IEEE-RAS Int. Conf. Humanoid Robots, 2008, pp. 360-366.
9. D. R. Faria, R. Martins, J. Lobo, and J. Dias, "Probabilistic representation of 3d object shape by in-hand exploration," in IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), 2010, pp. 1560-1565.
10. A. Maldonado, H. Alvarez-Heredia, and M. Beetz, "Improving robot manipulation through fingertip perception," in IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), Vilamoura, Algarve, Portugal, 2012, pp. 2947-2954.
11. A. Ude, D. Omrcen, and G. Cheng, "Making object learning and recognition an active process," Int. J. Humanoid Robotics, vol. 5, no. 2, pp. 267-286, 2008.
12. A. Schneider, J. Sturm, C. Stachniss, M. Reisert, H. Burkhardt, and W. Burgard, "Object identification with tactile sensors using bagof-features," in IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), Oct. 2009, pp. 243-248.
13. Z. A. Pezzementi, E. Plaku, C. Reyda, and G. D. Hager, "Tactileobject recognition from appearance information," IEEE Trans. Robot., vol. 27, no. 3, pp. 473-487, 2011.
14. P. Allen, "Integrating vision and touch for object recognition tasks," Dept. of Computer Science, Columbia University, Tech. Rep., 1986.
15. M. Bjorkman and D. Kragic, "Active 3D segmentation through fixation of previously unseen objects," in British Machine Vision Conference, August 2010, pp. 119.1-119.11.
16. C. E. Rasmussen and C. K. I. Williams, Gaussian processes for machine learning. MIT Press, 2006.
17. O. Williams and A. Fitzgibbon, "Gaussian process implicit surfaces," in Gaussian Processes in Practice Workshop, 2007.
18. P. J. Besl and N. D. McKay, "A method for registration of 3-d shapes," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 239-256, 1992.
19. M. Novotni and R. Klein, "Shape retrieval using 3d zernike descriptors," Computer-Aided Design, vol. 36, no. 11, pp. 1047-1062, 2004.
20. W. E. Lorensen and H. E. Cline, "Marching cubes: A high resolution 3d surface construction algorithm," in ACM Siggraph Computer Graphics, vol. 21, no. 4, 1987, pp. 163-169.
21. X. Chen and F. Schmitt, "Intrinsic surface properties from surface triangulation," in European Conference on Computer Vision (ECCV). Springer, 1992, pp. 739-743.
22. A. Gretton, K. M. Borgwardt, M. J. Rasch, B. Scholkopf, and A. Smola, "A kernel two-sample test," J. Machine Learning Research, vol. 13, pp. 723-773, 2012.
23. Y. Bekiroglu, D. Song, L. Wang, and D. Kragic, "A probabilistic framework for task-oriented grasp stability assessment," in IEEE Int. Conf. Robotics and Automation (ICRA), Karlsruhe, Germany, 2013.
24. A. Y. Ng, M. I. Jordan, and Y. Weiss, "On spectral clustering: Analysis and an algorithm," Advances in neural information processing systems, vol. 2, pp. 849-856, 2002.
25. L. Csato and M. Opper, "Sparse on-line gaussian processes," Neural Computation, vol. 14, no. 3, pp. 641-668, 2002.
26. M. Titsias, "Variational learning of inducing variables in sparse gaussian processes," in Int. Conf. Artificial Intelligence and Statistics (AISTATS), 2009, pp. 567-574.
27. M. Madry, D. Song, and D. Kragic., "From object categories to grasp transfer using probabilistic reasoning," in IEEE Int. Conf. Robotics and Automation (ICRA), Minnesota, USA, 2012, pp. 1716-1723.