Kinematic Modeling and Compliance Modulation of Redundant Manipulators Under Bracing Constraints
Garrison L.H. Johnston, Andrew L. Orekhov, Nabil Simaan

TL;DR
This paper presents a modeling and control framework for redundant collaborative robots that use bracing to balance safety and reachability in confined spaces, improving compliance and dexterity.
Contribution
It introduces a novel kinematic modeling and redundancy resolution approach that accounts for bracing constraints and enhances end-effector performance.
Findings
Redundancy resolution reduces end-effector compliance.
Simulation shows improved kinematic conditioning.
Framework supports future control strategies under bracing constraints.
Abstract
Collaborative robots should ideally use low torque actuators for passive safety reasons. However, some applications require these collaborative robots to reach deep into confined spaces while assisting a human operator in physically demanding tasks. In this paper, we consider the use of in-situ collaborative robots (ISCRs) that balance the conflicting demands of passive safety dictating low torque actuation and the need to reach into deep confined spaces. We consider the judicious use of bracing as a possible solution to these conflicting demands and present a modeling framework that takes into account the constrained kinematics and the effect of bracing on the end-effector compliance. We then define a redundancy resolution framework that minimizes the directional compliance of the end-effector while maximizing end-effector dexterity. Kinematic simulation results show that the…
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