Abstract: This paper delves into the obstacle avoidance issue of robotic arms in dynamic environments. In modern industry, robotic arms are applied widely and used to improve efficiency. However, ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Abstract: This paper presents an improved Rapidly-exploring Random Tree (RRT) algorithm for crane path planning in construction environments. Traditional RRT algorithms often generate suboptimal paths ...