Experimental Validation of Stable Coordination for Multi-Robot Systems with Limited Fields of View using a PortableMulti-Robot Testbed
Pratik Mukherjee, Matteo Santilli, Andrea Gasparri, Ryan K Williams

TL;DR
This paper presents a framework and experimental validation for achieving stable coordinated motion in multi-robot systems with limited fields of view, using UAVs in indoor and outdoor environments with real-world challenges.
Contribution
It introduces the first framework for stable motion and topology control in multi-robot systems with limited FOVs, validated through real-world experiments.
Findings
Successful coordination in indoor environments
Robust performance in outdoor conditions with wind
Demonstrated effectiveness of the control framework
Abstract
In this paper, we address the problem of stable coordinated motion in multi-robot systems with limited fields of view (FOVs). These problems arise naturally for multi-robot systems that interact based on sensing, such as our case study of multiple unmanned aerial vehicles (UAVs) each equipped with several cameras that are used for detecting neighboring UAVs. In this context, our contributions are: i) first, we derive a framework for studying stable motion and distributed topology control for multi-robot systems with limited FOVs; and ii) Then, we provide experimental results in indoor and challenging outdoor environments (e.g., with wind speeds up to 10 mph) with a team of UAVs to demonstrate the performance of the proposed control framework using a portable multi-robot experimental set-up.
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 · UAV Applications and Optimization · Adaptive Control of Nonlinear Systems
