Lower Limb Exoskeleton

Lower-limb exoskeletons are wearable robots designed to augment human locomotion, primarily aiming to improve mobility, rehabilitation, and task performance. Current research emphasizes enhancing human-robot interaction through improved control algorithms (e.g., data-driven predictive control, reinforcement learning, and impedance control) and more accurate biomechanical modeling, often incorporating machine learning for gait phase recognition and weight distribution estimation. These advancements are significant for improving exoskeleton design, optimizing user comfort and safety, and expanding the potential applications of this technology in healthcare and other fields.