Title
Optimization-Based Distributed Flocking Control For Multiple Rigid Bodies
Abstract
This letter considers distributed flocking control on the Special Euclidean group for networked rigid bodies. The method captures the three flocking rules proposed by Reynolds: cohesion; alignment; and separation. The proposed controller is based only on relative pose (position and attitude) information with respect to neighboring rigid bodies so that it can be implemented in a fully distributed manner using only local sensors. The flocking algorithm is moreover based on pose synchronization methods for the cohesion/alignment rules and achieves safe separation distances through the application of control barrier functions. The control input for each rigid body is chosen by solving a distributed optimization problem with constraints for pose synchronization and collision avoidance. Here, the inherent conflict between cohesion and separation is explicitly handled by relaxing the position synchronization constraint. The effectiveness of the proposed flocking algorithm is demonstrated via simulation and hardware experiments.
Year
DOI
Venue
2020
10.1109/LRA.2020.2969950
IEEE ROBOTICS AND AUTOMATION LETTERS
Keywords
DocType
Volume
Multi-robot systems, optimization and optimal control, swarms
Journal
5
Issue
ISSN
Citations 
2
2377-3766
1
PageRank 
References 
Authors
0.39
0
5
Name
Order
Citations
PageRank
Tatsuya Ibuki136.85
Sean Wilson210.72
junya yamauchi353.58
Masayuki Fujita4930103.37
Magnus Egerstedt52862384.94