A Minimum-Energy Control Approach for Redundant Mobile Manipulators in Physical Human-Robot Interaction Applications
Davide Tebaldi, Niccol\`o Paradisi, Fabio Pini, Luigi Biagiotti

TL;DR
This paper introduces a control method for mobile manipulators in human-robot interaction that minimizes energy use, enhancing safety and efficiency during physical tasks.
Contribution
It presents a novel minimum-energy control approach specifically designed for redundant mobile manipulators in physical interaction scenarios.
Findings
Reduces overall kinetic energy in the system
Improves performance over benchmark methods
Validated through peg-in-hole experiments
Abstract
Research on mobile manipulation systems that physically interact with humans has expanded rapidly in recent years, opening the way to tasks which could not be performed using fixed-base manipulators. Within this context, developing suitable control methodologies is essential since mobile manipulators introduce additional degrees of freedom, making the design of control approaches more challenging and more prone to performance optimization. This paper proposes a control approach for a mobile manipulator, composed of a mobile base equipped with a robotic arm mounted on the top, with the objective of minimizing the overall kinetic energy stored in the whole-body mobile manipulator in physical human-robot interaction applications. The approach is experimentally tested with reference to a peg-in-hole task, and the results demonstrate that the proposed approach reduces the overall kinetic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotic Locomotion and Control · Prosthetics and Rehabilitation Robotics · Robot Manipulation and Learning
