Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …

Optimization of energy consumption in industrial robots can reduce operating costs, improve
performance and increase the lifespan of the robot during part manufacturing. Choosing …

The Complete Coverage Path Planning (CCPP) is a key technology in the field of
agricultural robots, and has great significance for improving the efficiency and quality of …

Shape-shifting robots are the feasible solutions to solve the Complete Coverage Planning
(CCP) problem. These robots can extend the covered areas by reconfiguring their shape to …

This paper proposes a novel method based on Fuzzy Logic Systems (FLSs) optimized to
maximize the area coverage of a tiling robot by reconfiguring per an obstacle considering …

Complete coverage planning (CCP) is a task to cover the entire area on the map, according
to the job description of the autonomous mobile robot. The most widely used method for …

针对复杂实际环境下无人机进行快速三维全覆盖路径规划的问题, 提出了无人机全覆盖三维路径
规划算法. 首先, 二维全覆盖路径规划由全局运动策略, 局部运动策略和摆脱死区策略组成 …

Path planning has been a hot research topic in robotics, and it is also a vital functionality for
autonomous systems. Generating optimal-quality path plans with the least computing time …

Task allocation plays a vital role in multi-robot autonomous cleaning systems, where
multiple robots work together to clean a large area. However, most current studies mainly …

Smart home technologies (SHM) or devices provide some degree of digitally connected,
automated, or enhanced services to building occupants in residential areas and have been …