We present a self-improving, Neural Tree Expansion (NTE) method for multi-robot online planning in non-cooperative environments, where each robot attempts to maximize its cumulative reward while interacting with other self-interested robots. Our algorithm adapts the centralized, perfect information, discrete-action space from AlphaZero decentralized, partial continuous action setting applicatio...

Multi-UAV cooperative path planning can improve the efficiency of task completion. To deal with space and time conflicts multi-UAVs in complex environments, a multi-collision-based multi-UAV algorithm, multi-conflict-based search (MCBS), is proposed. First, flight constraints UAV are analyzed, three-dimensional environment model established that incorporates geographical information. Then, hier...

Trajectory planning is of great value and yet challenging for multirotor unmanned aerial vehicle (UAV) applications in a complex urban environment, mainly due to the complexities handling cluttered obstacles. The problem further complicates itself context autonomous multi-UAV trajectory considering conflict avoidance future city applications. To tackle this problem, paper introduces cooperative...

This paper investigates a human-machine cooperative trajectory planning and tracking control approach for automated vehicles. The proposed method is developed based on novel algorithm of rapidly-exploring random (HM-RRT) path planning, together with the risk assessment driver behavior. First, driver’s behaviour assessed according to information predicted vehicle trajectory, identified safe driv...

This paper consists of two parts: planning Co-operative Transport Systems (CTS) with general rules (communication is a new idea in this system) and an investigation into route planning as a part of services provided in CTS. Part one reveals developing new systems for cooperative sensing and predicting flow, infrastructure and environmental conditions surrounding traffic, with a view to improve ...

I-X Process Panels are used to support users who are carrying out processes and responding to events in a cooperative working environment. The panels support the tracking of personal or group issues, the planning and execution of activities and the checking of constraints. Panels can be connected to other panels, and also to a range of services, agents and other cooperative working support tool...

Cooperative pathfinding is a problem of finding a set of non-conflicting trajectories for a number of mobile agents. Its applications include planning for teams of mobile robots, such as autonomous aircrafts, cars, or underwater vehicles. The state-of-the-art algorithms for cooperative pathfinding typically rely on some heuristic forward-search pathfinding technique, where A* is often the algor...