Learning grasp stability

@article{Dang2012LearningGS,
  title={Learning grasp stability},
  author={Hao Dang and Peter K. Allen},
  journal={2012 IEEE International Conference on Robotics and Automation},
  year={2012},
  pages={2392-2397}
}
We deal with the problem of blind grasping where we use tactile feedback to predict the stability of a robotic grasp given no visual or geometric information about the object being grasped. We first simulated tactile feedback using a soft finger contact model in GraspIt! [1] and computed tactile contacts of thousands of grasps with a robotic hand using the Columbia Grasp Database [2]. We used the K-means clustering method to learn a contact dictionary from the tactile contacts, which is a… CONTINUE READING
Highly Cited
This paper has 38 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
23 Extracted Citations
20 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 23 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 20 references

Similar Papers

Loading similar papers…