Adaptive Fuzzy Gaussian Mixture Models for Shape Approximation in Robot Grasping

Author:

Lin Huifeng,Zhang Tong,Chen Zhaopeng,Song Haina,Yang Chenguang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference34 articles.

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2. Miller, A. T., Knoop, S., Christensen, H.I., Allen, P. K. : Automatic grasp planning using shape primitives. In: ICRA’03. IEEE International Conference on Robotics and Automation, 2003. Proceedings. Vol. 2, IEEE, pp. 1824–1829 (2003)

3. Miller, A.T., Allen, P.K.: Graspit! a versatile simulator for robotic grasping. IEEE Robot. Autom. Mag. 11(4), 110–122 (2004)

4. Pelossof, R., Miller, A., Allen, P., Jebara, T.: An svm learning approach to robotic grasping. In: 2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA’04. Vol. 4, IEEE, pp. 3512–3518 (2004)

5. Le, Q. V.: Building high-level features using large scale unsupervised learning. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, pp. 8595–8598 (2013)

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