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.

Reconfigurable mobile robots are emerging as a transformative solution in the fields of cleaning and path planning. By dynamically altering their morphology, these platforms are able to adapt to ...

According to the environment modeling approach, path planning algorithms of micro-/nanorobots are classified into searching, sampling, and dynamic aspects. The searching path planning algorithms ...

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 ...

Shipbuilding has always been a high-stakes, high-complexity industry where quality, safety, and schedule pressure collide. In recent years, digital tools have transformed design and planning—but the ...

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, ...

Path Robotics welding solutions achieve a near 99% first-pass yield in situations where a human welder typically achieves ~60-70%. If you walk the floor at Automate 2025 and talk with operations ...

Google DeepMind has introduced two new artificial intelligence (AI) models in its Gemini Robotics family, aimed at enhancing the capabilities of general-purpose robots. The models, named Gemini ...