Near-Optimal Multi-Robot Motion Planning with Finite Sampling-Reference-Cited by-同舟云学术

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Near-Optimal Multi-Robot Motion Planning with Finite Sampling

Published:2023-10 Issue:5 Volume:39 Page:3422-3436
ISSN:1552-3098
Container-title:IEEE Transactions on Robotics
language:
Short-container-title:IEEE Trans. Robot.

Author:

Dayan Dror¹^ORCID,Solovey Kiril²^ORCID,Pavone Marco³^ORCID,Halperin Dan¹

Affiliation:

1. Blavatnik School of Computer Science, Tel-Aviv University, Naharia, Israel

2. Faculty of Electrical and Computer Engineering, Technion – Israel Institute of Technology, Haifa, Israel

3. Aeronautics and Astronautics Department, Stanford University, Stanford, CA, USA

Funder

Toyota Research Institute

Center for Automotive Research at Stanford

Israel Science Foundation

US NSF/US-Israel BSF

Israel Ministry of Science and Technology

Blavatnik Computer Science Research Fund

Yandex Machine Learning Initiative for Machine Learning

Tel Aviv University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8860/10271771/10160207.pdf?arnumber=10160207

Reference50 articles.

1. Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery

2. Conflict-based search for optimal multi-agent pathfinding

3. Summary: Multi-Agent Path Finding with Kinematic Constraints

4. Efficient Large-Scale Multi-Drone Delivery Using Transit Networks

5. Subdimensional expansion for multirobot path planning

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient Path Planning Method for Precision Assembly Robot Used in Cross-Scale Workspace;2024

2. Scaling Infeasibility Proofs via Concurrent, Codimension-One, Locally-Updated Coxeter Triangulation;IEEE Robotics and Automation Letters;2023-12

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