Scalable Multi-Robot Motion Planning for Congested Environments With Topological Guidance-Reference-Cited by-同舟云学术

Scalable Multi-Robot Motion Planning for Congested Environments With Topological Guidance

Published:2023-11 Issue:11 Volume:8 Page:6867-6874
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

McBeth Courtney¹^ORCID,Motes James¹^ORCID,Uwacu Diane²^ORCID,Morales Marco¹^ORCID,Amato Nancy M.¹^ORCID

Affiliation:

1. Parasol Lab, Department of Computer Science, University of Illinois Urbana-Champaign, Champaign, IL, USA

2. Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA

Funder

Foxconn Interconnect Technology

Center for Networked Intelligent Components and Environments

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10254630/10243143.pdf?arnumber=10243143

Reference33 articles.

1. An obstacle-based rapidly-exploring random tree

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3. Finding a needle in an exponential haystack: Discrete RRT for exploration of implicit roadmaps in multi-robot motion planning

4. Dynamic-Domain RRTs: Efficient Exploration by Controlling the Sampling Domain

5. Searching with Consistent Prioritization for Multi-Agent Path Finding

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2. D-PBS: Dueling Priority-Based Search for Multiple Nonholonomic Robots Motion Planning in Congested Environments;IEEE Robotics and Automation Letters;2024-07

3. ITSP/IMTSP-Based Path Planning for Multiple-Mobile Robot System;IEEE Access;2024