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.

From student-built machines to advanced research prototypes, robotics competitions demand a blend of smart algorithms, precise motion control, and efficient design. Teams integrate proven path ...

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 ...