The flexibility and adaptability of soft robots enable them to perform various tasks in
changing environments, such as flower picking, fruit harvesting, in vivo targeted treatment …

With the development of smart manufacturing, human-robot collaboration (HRC) is seen as
the future of manufacturing. In a manufacturing environment with HRC, safety has been …

Motion planning algorithms have seen considerable progress and expansion across various
domains of science and technology during the last few decades, where rapid advancements …

This study investigated the trajectory-planning problem of a six-axis robotic arm based on
deep reinforcement learning. Taking into account several characteristics of robot motion, a …

Nowadays, urban areas are experiencing heavy traffic, and governments are implementing
various policies to manage it. For example, in China, trucks are prohibited from entering …

Path planning to generate an appropriate time sequence of positions for a complex
trajectory is an open challenge in robotics. This paper proposes an optimization method with …

Real-time and efficient path planning is critical for all robotic systems. In particular, it is of
greater importance for industrial robots since the overall planning and execution time …

A task scheduling and error control optimization method for robotic arms was developed.
The arm's accuracy after optimization with particle swarm optimization, artificial bee colony …

This paper presents a comparative analysis of several metaheuristic optimization methods
for generating trajectories of automated guided vehicles, which commonly operate in …

Aiming to address problems such as low sampling success rate and long computation time
in the motion planning of a dual-arm cooperative system with multiple constraints, this paper …