Ground Reaction Force

Ground reaction force (GRF) research focuses on measuring and modeling the forces exerted between a body (human or robot) and the ground during movement. Current research emphasizes developing efficient and accurate methods for GRF estimation, employing techniques like machine learning (e.g., linear regression, k-Nearest Neighbors, and transformer architectures) and leveraging data from inertial measurement units and soft sensors. These advancements are crucial for improving gait analysis, biomechanical modeling, and the control of legged robots, ultimately leading to better injury prevention strategies and more robust robotic locomotion.