The control of a multiple unmanned aerial vehicle (UAV) system is popular and attracting a
lot of attentions. This is motivated by many practical civil and commercial UAV applications …

Multi-agent path finding (MAPF) is a well-studied problem in artificial intelligence that can be
solved quickly in practice when using simplified agent assumptions. However, real-world …

Path planning is an intrinsic component of autonomous robotics, be it industrial, research or
consumer robotics. Such avenues experience constraints around which paths must be …

The primary problem for multi-robot displacement and motion phase solving requires that
the robots prevent themselves from colliding with each other as well as stationary obstacles …

Purpose In the running of multiple automated guided vehicles (AGVs) in warehouses, delay
problems in motions happen unavoidably as there might exist some disabled components of …

In this work, we propose a novel reinforcement learning algorithm to solve the optimal
motion planning problem. Particular emphasis is given on the rigorous mathematical proof of …

To predict the transportation process of a class of metamorphic object, eg, deformable
interlink linear object (DLO), the system particularity and coupling complexity is much …

In this work, a novel solution to the optimal motion planning problem is proposed, through a
continuous, deterministic and provably correct approach, with guaranteed safety and which …

Achieving the smart motion of any autonomous or semi-autonomous robot requires an
efficient algorithm to determine a feasible collision-free path. In this paper, a novel collision …

The coordinated motion between the press and the feeding mechanism directly determines
the production efficiency of the high-speed stam** line. In order to generate the high …