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.

Ground-based robots are typically used for missions where direct human involvement is too expensive, too dangerous, or just ineffective. Often, the robots must be able to operate autonomously, using ...

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.