An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem-Reference-Cited by-同舟云学术

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An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
Short-container-title:

Author:

Henkel Christian¹,Abbenseth Jannik²,Toussaint Marc¹

Affiliation:

1. University of Stuttgart,Machine Learning and Robotics Lab,Germany

2. Fraunhofer Institute for Manufacturing Engineering and Automation IPA,Stuttgart,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8957008/8967518/08968096.pdf?arnumber=8968096

Cited by 16 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. Reinforcement-Learning-Assisted Multi-UAV Task Allocation and Path Planning for IIoT;IEEE Internet of Things Journal;2024-08-15

2. Real-Time Multi-Robot Mission Planning in Cluttered Environment;Robotics;2024-02-28

3. A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical;Knowledge-Based Systems;2024-01

4. Task Allocation and Motion Planning Strategies for Multi-robot Cooperation;Studies in Computational Intelligence;2024

5. Solving Multi-Agent Target Assignment and Path Finding with a Single Constraint Tree;2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS);2023-12-04

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