Robust whole-hand spatial manipulation via energy maps with caging, rolling, and sliding

Author:

Bircher Walter G.,Morgan Andrew S.,Dollar Aaron M.

Abstract

Humans regularly use all inner surfaces of the hand during manipulation, whereas traditional formulations for robots tend to use only the tips of their fingers, limiting overall dexterity. In this paper, we explore the use of the whole hand during spatial robotic dexterous within-hand manipulation. We present a novel four-fingered robotic hand called the Model B, which is designed and controlled using a straight-forward potential energy-based motion model that is based on the hand configuration and applied actuator torques. In this way the hand-object system is driven to a new desired configuration, often through sliding and rolling between the object and hand, and with the fingers “caging” the object to prevent ejection. This paper presents the first ever application of the energy model in three dimensions, which was used to compare the theoretical manipulability of popular robotic hands, which then inspired the design of the Model B. We experimentally validate the hand’s performance with extensive benchtop experimentation with test objects and real world objects, as well as on a robotic arm, and demonstrate complex spatial caging manipulation on a variety of objects in all six object dimensions (three translation and three rotation) using all inner surfaces of the fingers and the palm.

Funder

National Science Foundation

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference40 articles.

1. Learning dexterous in-hand manipulation;Andrychowicz;Int. J. Robotics Res.,2020

2. A two-fingered robot gripper with large object reorientation range;Bircher,2017

3. Complex manipulation with a simple robotic hand through contact breaking and caging;Bircher;Sci. Robotics,2021

4. Energy gradient-based graphs for planning within-hand caging manipulation;Bircher,2019

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