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
Recommended Citation
Frederick, Christina; Egerstedt, Magnus; and Zhou, Haomin, "Collective Motion Planning for a Group of Robots Using Intermittent Diffusion" (2022). Faculty Publications. 3346.
https://digitalcommons.njit.edu/fac_pubs/3346