This project aims to design a more efficient exoskeleton robot for walking assistance and its corresponding control methods. By utilizing multimodal wearable sensors and incorporating human motion intent recognition and trajectory generation, the study fully considers Human-Robot Interaction characteristics and individual differences, aiming to achieve efficient daily walking assistance. In the future, the project will be further refined and optimized using an embodied intelligence method.
