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Dynamic optimal grasping of a circular object with gravity using robotic soft-fingertips Cover

Dynamic optimal grasping of a circular object with gravity using robotic soft-fingertips

Open Access
|Jul 2016

Abstract

Object manipulation usually requires dexterity, encoded as the ability to roll, which is very difficult to achieve with robotic hands based on point contact models (subject to holonomic constraints). As an alternative for dexterous manipulation, deformable contact with hemispherical shape fingertips has been proposed to yield naturally a rolling constraint. It entails dexterity at the expense of dealing with normal and tangential forces, as well as more elaborated models and control schemes. Furthermore, the essential feature of the quality of grasp can be addressed with this type of robot hands, but it has been overlooked for deformable contact. In this paper, a passivity-based controller that considers an optimal grasping measure is proposed for robotic hands with hemispherical deformable fingertips, to manipulate circular dynamic objects. Optimal grasping that minimizes the contact wrenches is achieved through fingertip rolling until normal forces pass through the center of mass of the object, aligning the relative angle between these normal forces. The case of a circular object is developed in detail, though our proposal can be extended to objects with an arbitrary shape that admit a local decomposition by a circular curvature. Simulation and experimental results show convergence under various conditions, wherein rolling and tangent forces become instrumental to achieve such a quality of grasp.

DOI: https://doi.org/10.1515/amcs-2016-0022 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 309 - 323
Submitted on: Apr 17, 2015
Accepted on: Jan 26, 2016
Published on: Jul 2, 2016
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Rodolfo García-Rodríguez, Victor Segovia-Palacios, Vicente Parra-Vega, Marco Villalva-Lucio, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.