Collective Motion Planning for a Group of Robots Using Intermittent Diffusion

Document Type

Article

Publication Date

1-1-2022

Abstract

In this work we establish a simple yet effective strategy, based on intermittent diffusion, for enabling a group of robots to accomplish complex tasks, shape formation and assembly. We demonstrate the feasibility of this approach and rigorously prove collision avoidance and convergence properties of the proposed algorithms.

Identifier

85119611508 (Scopus)

Publication Title

Journal of Scientific Computing

External Full Text Location

https://doi.org/10.1007/s10915-021-01700-y

e-ISSN

15737691

ISSN

08857474

Issue

1

Volume

90

Grant

1830225

Fund Ref

Office of Naval Research

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