Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …

Autonomous vehicles have been highlighted as a major growth area for future transportation
systems and the deployment of large numbers of these vehicles is expected when safety …

The recent advancement of deep reinforcement learning (DRL) contributed to robotics by
allowing automatic controller design. The automatic controller design is a crucial approach …

The mining industry is the leading supplier of raw materials in modern society. This sector of
human activity has experienced a severe crisis due to the energy transition and has been …

In swarm robotics, robots solve problems using collective behaviors similar to those
observed in natural systems, such as birds, bees or fish. They determine their collective …

In this paper, multi-robot navigation based on the deep reinforcement learning (DRL) was
proposed, which could be used to solve collision avoidance between robots. Firstly, a novel …

多机器人系统在联合搜救, 智慧车间, 智能交通等领域得到了日益广泛的应用. 目前,
多个机器人之间, 机器人与动态环境之间的路径规划和导航避障仍需依赖精确的环境地图 …