RONov 13, 2020

Region-Based Planning for 3D Within-Hand-Manipulation via Variable Friction Robot Fingers and Extrinsic Contacts

arXiv:2011.07132v22 citations
AI Analysis

This work addresses the challenge of 3D object manipulation for robotics, offering a simpler alternative to high-DOF hands, though it is incremental as it builds on prior planar work.

The paper tackles the problem of enabling 3D within-hand manipulation (WIHM) with a low-complexity robot hand by extending prior planar capabilities, achieving this through a region-based planning algorithm and variable friction fingers, as demonstrated in real robot experiments using a standardized benchmarking protocol.

Attempts to achieve robotic Within-Hand-Manipulation (WIHM) generally utilize either high-DOF robotic hands with elaborate sensing apparatus or multi-arm robotic systems. In prior work we presented a simple robot hand with variable friction robot fingers, which allow a low-complexity approach to within-hand object translation and rotation, though this manipulation was limited to planar actions. In this work we extend the capabilities of this system to 3D manipulation with a novel region-based WIHM planning algorithm and utilizing extrinsic contacts. The ability to modulate finger friction enhances extrinsic dexterity for three-dimensional WIHM, and allows us to operate in the quasi-static level. The region-based planner automatically generates 3D manipulation sequences with a modified A* formulation that navigates the contact regions between the fingers and the object surface to reach desired regions. Central to this method is a set of object-motion primitives (i.e. within-hand sliding, rotation and pivoting), which can easily be achieved via changing contact friction. A wide range of goal regions can be achieved via this approach, which is demonstrated via real robot experiments following a standardized in-hand manipulation benchmarking protocol.

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