학술논문

Robotic Motion Coordination Based on a Geometric Deformation Measure
Document Type
Periodical
Source
IEEE Systems Journal Systems Journal, IEEE. 16(3):3689-3699 Sep, 2022
Subject
Components, Circuits, Devices and Systems
Computing and Processing
Strain
Robots
Shape
Robot kinematics
Task analysis
Multi-robot systems
Shape measurement
Cooperative manipulation
motion coordination
multirobot systems
robot control
Language
ISSN
1932-8184
1937-9234
2373-7816
Abstract
This article describes a novel approach to achieve motion coordination in a multirobot system based on the concept of deformation. Our main novel contribution is to link these two elements (namely, coordination and deformation). In particular, the core idea of our approach is that the robots’ motions minimize a global measure of the deformation of their positions relative to a prescribed shape. Based on this idea, we propose a linear shape controller that also incorporates a term modeling an affine deformation. We show that the affine term is particularly useful when the deformation to be controlled is large. We also propose controls for the other variables (centroid, rotation, and size) that define the geometric configuration of the team. Importantly, these additional controls are completely decoupled from the shape control. The overall approach is simple and robust, and it creates closely coordinated robot motions. Being based on deformation, it is useful in several scenarios involving manipulation tasks, e.g., handling of a highly deformable object, control of an object’s shape, or regulation of the shape formed by the fingertips of a robotic hand. We present simulation and experimental results to validate the proposed approach.