Tactile-based blind grasping addresses realistic robotic grasping in which the hand only has access to proprioceptive and tactile sensors. The robotic hand has no prior knowledge of the object/grasp properties, such as object weight, inertia, and shape. There exists no manipulation controller that rigorously guarantees object manipulation in such a setting. Here, a robust control law is proposed for object manipulation in tactile-based blind grasping. The analysis ensures semi-global asymptotic and exponential stability in the presence of model uncertainties and external disturbances that are neglected in related work. Simulation and experimental results validate the effectiveness of the proposed approach.
@article{arxiv.1709.02924,
title = {Robust Object Manipulation for Tactile-based Blind Grasping},
author = {Wenceslao Shaw-Cortez and Denny Oetomo and Chris Manzie and Peter Choong},
journal= {arXiv preprint arXiv:1709.02924},
year = {2019}
}
Comments
Note the original title of this work was: Object Manipulation using Robotic Hands with Varying Degrees of Grasp Knowledge. It has now been updated thanks to suggestions by the reviewers