Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

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

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort ...