Stepwise Large-Scale Multi-Agent Task Planning Using Neighborhood Search-Reference-Cited by-同舟云学术

Stepwise Large-Scale Multi-Agent Task Planning Using Neighborhood Search

Published:2024-01 Issue:1 Volume:9 Page:111-118
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Zeng Fan¹^ORCID,Shirafuji Shouhei²^ORCID,Fan Changxiang³^ORCID,Nishio Masahiro⁴^ORCID,Ota Jun⁵^ORCID

Affiliation:

1. Department of Precision Engineering, Graduate School of Engineering, University of Tokyo, Tokyo, Japan

2. Department of Mechanical Engineering, Faculty of Engineering Science, Kansai University, Osaka, Japan

3. Institute of Facility Agriculture, Guangdong Academy of Agricultural Sciences, Guangzhou, China

4. Strategic R&D Planning Department, R&D and Engineering Management Division, Advanced R&D and Engineering Company, Toyota Motor Corporation, Toyota, Japan

5. Research into Artifacts, Center for Engineering (RACE), School of Engineering, University of Tokyo, Tokyo, Japan

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/ielx7/7083369/10320104/10314721.pdf?arnumber=10314721

Reference26 articles.

1. Using the Context-Enhanced Additive Heuristic for Temporal and Numeric Planning

2. Forward-search temporal planning with simultaneous events;blanco;Proc 13th Workshop Constraint Satisfaction Techn Plan Scheduling,0

3. Toward efficient task assignment and motion planning for large-scale underwater missions

4. Planning for Hybrid Systems via Satisfiability Modulo Theories

5. Temporal Planning with Preferences and Time-Dependent Continuous Costs