From industrial floors to humanoid helpers, advanced path planning in ROS2 is redefining how robots move safely and efficiently. Algorithms like Regulated Pure Pursuit and DAPF-RRT combine speed ...

ANN ARBOR—Robots that need to use their arms to make their way across treacherous terrain just got a speed upgrade with a new path planning approach, developed by University of Michigan researchers.

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.

The process of bringing collaborative capabilities to industrial robots first began appearing on the automation scene about three years ago when we saw some of the first demonstrations of Realtime ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and safely move in unknown, dynamic and complex environments. To move in their ...

Scientists summarize, compare and contrast research in learned robot manipulation through the lens of adaptability and outline promising research directions for the future. What if a robot could ...

Robots that need to use their arms to make their way across treacherous terrain just got a speed upgrade with a new path planning approach. The improved algorithm path planning algorithm found ...