Conference proceeding
Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance
2023 American Control Conference (ACC), v 2023-, pp 1331-1338
31 May 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We study the problem that requires a team of robots to perform joint localization and target tracking task while ensuring team connectivity and collision avoidance. The problem can be formalized as a nonlinear, non-convex optimization program, which is typically hard to solve. To this end, we design a two-staged approach that utilizes a greedy algorithm to optimize the joint localization and target tracking performance and applies control barrier functions to ensure safety constraints, i.e., maintaining connectivity of the robot team and preventing inter-robot collisions. Simulated Gazebo experiments verify the effectiveness of the proposed approach. We further compare our greedy algorithm to a non-linear optimization solver and a random algorithm, in terms of the joint localization and tracking quality as well as the computation time. The results demonstrate that our greedy algorithm achieves high task quality and runs efficiently.
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Details
- Title
- Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance
- Creators
- Rahul Zahroof - University of PennsylvaniaJiazhen Liu - University of PennsylvaniaLifeng Zhou - Drexel UniversityVijay Kumar - University of Pennsylvania
- Publication Details
- 2023 American Control Conference (ACC), v 2023-, pp 1331-1338
- Publisher
- American Automatic Control Council
- Number of pages
- 8
- Grant note
- Arm (10.13039/100016311)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:001027160301036
- Scopus ID
- 2-s2.0-85167784438
- Other Identifier
- 991021945765004721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Automation & Control Systems
- Computer Science, Interdisciplinary Applications
- Engineering, Electrical & Electronic