A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Research in dynamics includes theoretical, computational and experimental research in the general area of dynamical systems, dynamics and vibrations, dynamics of flexible bodies, high-dimensional ...

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 ...

This online physics specialization is ideal for learners experienced in spacecraft dynamics as well as GNC engineers and researchers. You will learn about momentum-based attitude dynamics and control, ...

Engineers push limits of robot balance, movement in new Atlas tests with RAI Institute Company posts footage of advanced full-body control trials on humanoid robot, hinting at future capabilities.

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.