Multi-agent collaborative navigation is prevalent in modern transportation systems, including
delivery logistics, warehouse automation, and personalised tourism, where multiple moving …

Path planning is an crucial research area in robotics. Compared to other path planning
algorithms, the Rapidly-exploring Random Tree (RRT) algorithm possesses both search and …

In order to enable multiple agents to select the best gathering point dynamically, the design
of a collaborative and efficient method in real-time is crucial. The dynamic path planning …

Recent developments in deep learning have enabled reinforcement learning (RL) methods
to drive optimal policies for a sophisticated high-dimensional environment, which is suitable …

Due to the increasingly complex deck environment and intensive sortie requirement, there is
a growing demand to realize the autonomous dispatch on flight deck. To meet this demand …

Despite its success in various research domains, Reinforcement Learning (RL) faces
challenges in its application to air transport operations due to the rigorous certification …

舰载机的高效出动能力是衡量航空母舰综合战斗力的重要指标之一. 为了提高舰载机的出动架次
率, 提出一种基于深度确定性策略梯度算法的舰载机导引路径规划方法. 首先将舰载机路径规划 …

Multi-robot path finding in dynamic environments is a highly challenging classic problem. In
the movement process, robots need to avoid collisions with other moving robots while …

Artificial intelligence-driven navigation for multi-user interaction is rapidly gaining attraction
in various research fields. This technology offers efficient resource planning and …

UAV technology is developing rapidly and is widely used in various fields. However,
achieving efficient control in complex dynamic environments remains a major challenge. To …