Robot path planning and motion control constitute pivotal areas in robotics research, addressing the challenge of enabling autonomous navigation in environments that are both complex and dynamic.

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.

Robots are getting better at sensing their surroundings, but moving safely through unfamiliar spaces remains a bottleneck. Most autonomous systems still depend on building detailed maps, fusing ...

The cameras, advanced perception and reasoning software that enable robots to see are more than tools for navigation or task execution; they are the visual cortex for humanoids, allowing them to move, ...

Robotics has moved far beyond simple mechanical machines performing repetitive tasks. In 2026, robots are becoming intelligent assistants that can move, analyze environments, interact with people, and ...

Scientists have created a bicycle-style robot designed to travel at high speed while successfully ...

Humans often use one hand to grasp the branch for better accessibility, while the other hand is used to perform primary tasks like (a) branch pruning and (b) hand pollination of the flower. (c) An ...

Adaptable robotic systems incorporating AI, new vision tech and low-code programming are being used to tackle frequent ...