Task Capability Improvement Algorithm for Collaborative Manipulators

TL;DR

This paper proposes a cooperative algorithm that enhances collaborative manipulators' task capability by utilizing additional moments, leading to improved efficiency and fault tolerance in object manipulation.

Contribution

The work introduces a novel method using additional moments to improve the collective task capability of manipulators in a collaborative setting.

Findings

Simulation shows a 5.86% improvement in capability with the proposed method.

Enhanced capability aids in optimal resource allocation and fault tolerance.

Applying forces at non-center points creates beneficial moments for manipulation.

Abstract

This work introduces a cooperative task capability improvement utilizing additional moments. The manipulators apply forces at the object's grasp point. Applying forces at a point other than the object's center of gravity produces undesired moments. The undesired moment acts as an additional moment. It improves the capability of an individual manipulator and, hence, the entire collaborative group. Any improvements in task capability directly add up to the object and transportation capability. The group's enhanced capability also helps achieve optimal capability, optimal resource allocation, and maximum fault tolerance in object manipulation. Our simulation results show an improvement in the capability of 5.86 \% compared to when no moment is used to enhance the capability of the manipulators.