To address the issues of slow convergence speed and poor path quality of the traditional Rapidly-exploring Random Tree Star (RRT*) algorithm in complex environments, this paper proposes a Multi ...

Path planning is crucial for automatic measurement to ensure a collision-free process for manipulators. However, the more complex the measurement environment, the more complex the path planning scheme ...

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.