Distributed formation control for manipulator end-effectors
Haiwen Wu, Bayu Jayawardhana, Hector Garcia de Marina, Dabo Xu

TL;DR
This paper introduces three distributed formation control methods for manipulator end-effectors, enabling shape maintenance in 2D/3D despite varying knowledge of system parameters, validated through simulations.
Contribution
It proposes novel distributed controllers for manipulators with perfect, uncertain, or unknown parameters, incorporating physical spring models and adaptive estimators.
Findings
Effective formation control demonstrated in simulations
Controllers handle parameter uncertainties
Works for planar and humanoid manipulators
Abstract
We present three classes of distributed formation controllers for achieving and maintaining the 2D/3D formation shape of manipulator end-effectors to cope with different scenarios due to availability of modeling parameters. We firstly present a distributed formation controller for manipulators whose system parameters are perfectly known. The formation control objective is achieved by assigning virtual springs between end-effectors and by adding damping terms at joints, which provides a clear physical interpretation of the proposed solution. Subsequently, we extend it to the case where manipulator kinematic and system parameters are not exactly known. An extra integrator and an adaptive estimator are introduced for gravitational compensation and stabilization, respectively. Simulation results with planar manipulators and with seven degree-of-freedom humanoid manipulator arms are…
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Taxonomy
TopicsRobotic Locomotion and Control · Distributed Control Multi-Agent Systems · Modular Robots and Swarm Intelligence
