Traffic Flow Learning Enhanced Large-Scale Multi-Robot Cooperative Path Planning Under Uncertainties
Author:
Affiliation:
1. AI Institute, Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence,China
2. Shanghai Jiao Tong University,Department of Automation,China
3. Huawei Cloud Computing Technologies Co., Ltd.,Edge Cloud Innovation Lab
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610592.pdf?arnumber=10610592
Reference34 articles.
1. Situational Assessment for Intelligent Vehicles Based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios
2. Ensemble Coordination Approach in Multi-AGV Systems Applied to Industrial Warehouses
3. Deep Learning-Based Localization and Perception Systems: Approaches for Autonomous Cargo Transportation Vehicles in Large-Scale, Semiclosed Environments
4. Mine Detection and Route Planning in Military Warfare using Multi Agent System
5. Exhaustiveness Does Not Necessarily Mean Better: Selective Task Planning for Multi-robot Systems
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