IEEE

Multi-UAV Cooperative Path Planning via Graph Neural Network and Proximal Policy Optimization

Abstract: Cooperative path planning for multiple unmanned aerial vehicles (UAVs) is a challenging problem in the field of multi-agent reinforcement learning, characterized by high-dimensional state ...
Rail

Network Rail appeal to overturn ruling to accept Freightliner path fails

Network Rail has failed to overturn a decision that found it had misinterpreted rules when it rejected two paths for Freightliner services. The freight operator went to the Access Disputes Committee ...
Frontiers

Motion path optimization of truss manipulator based on simulated annealing and BP neural network

College of Railway Locomotive and Rolling Stock, Hebei Vocational College of Rail Transportation, Shijiazhuang, China Introduction: This research focuses on optimizing the motion path of truss ...
Frontiers

A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...