Iterative Learning Control (ILC) has emerged as a robust and adaptive technique for addressing the intricate challenges posed by nonlinear systems. By capitalising on ...

Introduction In recent years, robot embodied reasoning has emerged as a crucial frontier in the quest to build autonomous ...

If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...

A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.

(Nanowerk News) Learning from one's past mistakes is not limited to humans. Computers do it too. In industries, this is done via computer-based control systems that help operate production systems in ...

In a workshop larger than a football field in China's eastern coast city of Qingdao, a sweater-folding robot repeats the same ...

Figure AI has developed a new humanoid robotic natural walking capability for its humanoid robots, leveraging reinforcement learning (RL) and simulation-based training. This approach enables the ...

Toyota has unveiled CUE7, the latest version of its basketball-playing robot, as a demonstration ...