A team of researchers has developed a new method for controlling lower limb exoskeletons using deep reinforcement learning. The method enables more robust and natural walking control for users of ...
This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...
Reinforcement learning algorithm enables hydraulic power without power switching complications, enabling improved energy ...
The inside of a tokamak—the doughnut-shaped vessel designed to contain a nuclear fusion reaction—presents a special kind of chaos. Hydrogen atoms are smashed together at unfathomably high temperatures ...
Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...
UC Santa Cruz’s group of researchers were the winning team of the L2RPN Delft 2023, a competition which invited participants from around the world to use reinforcement learning or similar techniques ...
Shape Memory Alloys (SMAs) have emerged as critical components in the field of robotics, offering compact and ...
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