Researchers unveiled a closed loop, obstacle aware control framework that lets mobile additive manufacturing (AM) robots ...

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.

Building a robot that can reliably perceive, plan, and act in the real world is hard—especially when conditions change minute to minute. Modern robotics teams are no longer just writing control code.