Flood Disaster Mitigation: A Real-World Challenge Problem for Multi-agent Unmanned Surface Vehicles-Reference-Cited by-同舟云学术

Flood Disaster Mitigation: A Real-World Challenge Problem for Multi-agent Unmanned Surface Vehicles

Published:2012 Issue: Volume: Page:252-269
ISSN:0302-9743
Container-title:Advanced Agent Technology
language:
Short-container-title:

Author:

Scerri Paul,Kannan Balajee,Velagapudi Pras,Macarthur Kate,Stone Peter,Taylor Matt,Dolan John,Farinelli Alessandro,Chapman Archie,Dias Bernadine,Kantor George

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-27216-5_16

Reference30 articles.

1. Alami, R., Fleury, S., Herrb, M., Ingrand, F., Robert, F.: Multi-robot cooperation in the martha project. Robotics & Automation Magazine 5(1), 36–47 (1998)

2. Lecture Notes in Artificial Intelligence;R. Alami,2002

3. Alami, R., Ingrand, F., Qutub, S.: A scheme for coordinating multi-robot planning activities and plans execution. In: Proceedings of the Thirteenth European Conference on Artificial Intelligence, ECAI 1998 (1998)

4. Bernstein, D.S., Zilberstein, S., Immerman, N.: The complexity of decentralized control of markov decision processes. In: Proc. of UAI 2000, pp. 32–37 (2000)

5. Bernardine Dias, M., Zlot, R., Kalra, N., Stentz, A.: Market-based multirobot coordination: A survey and analysis. Proceedings of the IEEE 94(7), 1257–1270 (2006)

Cited by 14 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. Research on the Dynamic Obstacle Avoidance Method of Unmanned Surface Vehicle Based on RVO;2023 9th International Conference on Control, Automation and Robotics (ICCAR);2023-04-21

2. A Comprehensive Framework for Emergency in Robotic Environments;IEEE Access;2023

3. Indistinguishability Operators via Yager t-norms and Their Applications to Swarm Multi-Agent Task Allocation;Mathematics;2021-01-19

4. Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles;Neurocomputing;2021-01

5. A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions;Sensors;2019-02-08