Robust Formation Control in SE(3) for Tree-Graph Structures with Prescribed Transient and Steady State Performance
Christos K. Verginis, Alexandros Nikou, Dimos V. Dimarogonas

TL;DR
This paper introduces a decentralized, robust control protocol for formation management of rigid bodies in SE(3) with tree-graph sensing structures, ensuring collision avoidance, connectivity, and prescribed transient and steady state behaviors.
Contribution
It develops a novel control method for formation control in SE(3) that guarantees robustness, decentralized implementation, and performance specifications for tree-graph structures.
Findings
Control laws are decentralized and use local information.
Guarantees collision avoidance and connectivity.
Simulation confirms effectiveness and robustness.
Abstract
This paper presents a novel control protocol for distance and orientation formation control of rigid bodies, whose sensing graph is a static and undirected tree, in the special Euclidean group SE(3). The proposed control laws are decentralized, in the sense that each agent uses only local relative information from its neighbors to calculate its control signal, as well as robust with respect to modeling (parametric and structural) uncertainties and external disturbances. The proposed methodology guarantees the satisfaction of inter-agent distance constraints that resemble collision avoidance and connectivity maintenance properties. Moreover, certain predefined functions characterize the transient and steady state performance of the closed loop system. Finally, simulation results verify the validity and efficiency of the proposed approach.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed Control Multi-Agent Systems · Modular Robots and Swarm Intelligence · Robotic Locomotion and Control
