After testing 24 robot vacuums at CNET Labs to see how well they clean and avoid obstacles, we discovered an unusual relationship.

Obstacle avoidance is a crucial piece of technology for drones, but commercially-available systems just aren’t fast enough for some situations. Now, engineers at the University of Zurich have ...

According to the environment modeling approach, path planning algorithms of micro-/nanorobots are classified into searching, sampling, and dynamic aspects. The searching path planning algorithms ...

This study presents an enhanced RRT* algorithm for deep-sea mining vehicles, improving path planning and obstacle avoidance in complex underwater environments.