Influence of Gravity on the Manipulability Ellipsoid for Robot Arms

Author:

Chiacchio P.1,Chiaverini S.1,Sciavicco L.1,Siciliano B.1

Affiliation:

1. Dipartimento di Informatica e Sistemistica, Universita` degli Studi di Napoli Federico II, 80125 Napoli, Italy

Abstract

The dynamic manipulability ellipsoid is a common tool in robotics to measure the ability of a manipulator to produce arbitrary accelerations of the end-effector for a given set of torques at the joints. This article is intended to demonstrate that for a robot arm, when gravitational forces (due to arm and payload) are properly embedded into the derivation of the ellipsoid, these do not cause a compression in the volume of the ellipsoid, as stated in the original approach, but they just produce a translation of the ellipsoid which in general occurs along all task space directions. Further, we characterize the ellipsoid for redundant manipulators by investigating the properties of the manipulator Jacobian involved in the core of the ellipsoid. Numerical case studies are developed.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

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1. A Method for Evaluating the Mechanical Performance of Serial Robots Based on Task Requirements;2024 10th International Conference on Electrical Engineering, Control and Robotics (EECR);2024-03-29

2. A general method for the manipulability analysis of serial robot manipulators;International Journal of Advanced Robotic Systems;2023-11-01

3. Translating Manipulating Force Polytope by Dynamics on Kinematical Redundant Manipulators;Journal of the Robotics Society of Japan;2023

4. A Pragmatic Framework for Mobile Redundant Manipulator Performing Sequential Tasks;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17

5. Updating Potential Runaway Motion Volume in Task Space and Introducing Minimum Volume Enclosing Ellipsoid;2021 International Conference on Computer, Control and Robotics (ICCCR);2021-01-08

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