Learning and Prediction of Soft Object Deformation Using Visual Analysis of Robot Interactions

Author:

Cretu Ana-Maria,Payeur Pierre,Petriu Emil M.

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. NATO Science Series III: Computer and System Sciences;E.M. Petriu,2003

2. Cretu, A.-M., Payeur, P., Petriu, E.M., Khalil, F.: Deformable Object Segmentation and Contour Tracking in Image Sequences Using Unsupervised Networks. In: Canadian Conference Computer and Robot Vision, pp. 277–284. IEEE Press, Ottawa (2010)

3. Wang, H., Wang, Y., Esen, H.: Modeling of Deformable Objects in Haptic Rendering System for Virtual Reality. In: IEEE Conference on Mechatronics and Automation, pp. 90–94. IEEE Press, Changchun (2009)

4. Luo, Q., Xiao, J.: Modeling and Rendering Contact Torques and Twisting Effects on Deformable Objects in Haptic Interaction. In: IEEE International Conference on Intelligent Robots and Systems, pp. 2095–2100. IEEE Press, San Diego (2007)

5. Zhong, Y., Shirinzadeh, B., Alici, G., Smith, J.: Cellular Neural Network Based Deformation Simulation with Haptic Force Feedback. In: Workshop Advanced Motion Control, pp. 380–385. IEEE Press, Turkey (2006)

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