A Comprehensive Study of Bioinspired Mechanical Engineering Based on Neuroscientific Insights

The integration of engineering and neuroscience has led to innovative approaches to the development of intelligent mechanical systems. This review pulls on fields such as neuropsychology, signal tracking, prosthetics, multi-step robotic actions, and educational neuroscience in addition to studying brain-inspired control and learning. Highlights include applying zeroing neural dynamics for precise signal localization under noise, leveraging EEG data to customize learning for Industry 5.0, and decomposing challenging robot tasks using multi-sensory input. These advancements demonstrate the substantial potential of brain-based concepts to propel the development of next-generation smart mechanical systems.