This paper provides a comprehensive review of the integration of advanced power
management systems and learning techniques in the field of robotics. It identifies the critical …

With the widespread application of industrial robots, there is growing interest in optimizing
their energy consumption during motion processes. Traditional methods typically rely on …

Simulation plays a pivotal role in providing safely reproducible scenarios to evaluate the
ever-advancing domain of computer science and robotics. It was an essential part of the …

Robotic automation has emerged as a leading solution for replacing human workers in dirty,
dangerous, and demanding industries to ensure the safety of human workers. However …

With the advent of Industry 4.0, intelligent manufacturing has emerged as a prominent trend
for future development. The integration of intelligent manufacturing scenarios with …

Most current research on multi-agent reinforcement learning assumes a reliable
environment where agents have globally accurate observations. However, this assumption …

In this study, a novel planning and tracking approach is proposed for a mobile robotic arm to
grab objects in an obstacle environment. First, we developed an improved APF-RRT …

With the rapid advancement of industrial automation and artificial intelligence technologies,
particularly in the textile industry, robotic technology is increasingly challenged with …

This thesis explores the development of a cost-effective, autonomous mobile manipulation
robot designed to address complex tasks in industrial and agricultural environments. The …

Manipulation tasks in robotics usually involve two phases: an approach to the object and the
grasp itself. The first action allows the robot to reach a certain pose in space that is likely to …