Safety-Guaranteed Distributed Formation Control of Multi-Robot Systems Over Graphs With Rigid and Elastic Edges

This letter considers the problem of formation control of multi-robot systems represented by a graph featuring both rigid and elastic edges, capturing specified range tolerance to the desired inter-robot distances. The objective is to navigate the robots safely through unknown environments with obstacles, utilizing onboard sensors like LiDAR while maintaining inter-robot distance constraints. To this end, a novel cooperative control algorithm is proposed, employing quadratic programming and leveraging control barrier functions to integrate multiple control objectives seamlessly. This approach ensures a unified strategy and provides a safety certificate. Experimental validation of the proposed cooperative control algorithm is conducted using a robotic testbed.

Authors

Institutions

Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-09-30
DOI
https://doi.org/10.1109/lra.2024.3471460
Citations
8
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
2.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safety-Guaranteed Distributed Formation Control of Multi-Robot Systems Over Graphs With Rigid and Elastic Edges

Azwirman Gusrialdi, Made Widhi Surya Atman, Nadun Ranasinghe, Hoang Pham et al.
8 citations
IEEE Robotics and Automation Letters
Distributed Control Multi-Agent Systems
2.79
article

Safety-Guaranteed Distributed Formation Control of Multi-Robot Systems Over Graphs With Rigid and Elastic Edges

Azwirman Gusrialdi, Made Widhi Surya Atman, Nadun Ranasinghe, Hoang Pham, Dong Le
article en
8 citations

Abstract

This letter considers the problem of formation control of multi-robot systems represented by a graph featuring both rigid and elastic edges, capturing specified range tolerance to the desired inter-robot distances. The objective is to navigate the robots safely through unknown environments with obstacles, utilizing onboard sensors like LiDAR while maintaining inter-robot distance constraints. To this end, a novel cooperative control algorithm is proposed, employing quadratic programming and leveraging control barrier functions to integrate multiple control objectives seamlessly. This approach ensures a unified strategy and provides a safety certificate. Experimental validation of the proposed cooperative control algorithm is conducted using a robotic testbed.

IEEE Robotics and Automation LettersVol. 9(11)
Tampere University (FI)
Academy of Finland
Openalex Percentile: Top 9%
Distributed Control Multi-Agent Systems
2.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.