Max Robotics — Global Service Robot Directory + US Certification

About

Jiacheng Wan is a pioneering researcher in wearable robotics and human–machine interaction, with a focus on decoding human motion intent through advanced sensing and modeling. His work bridges musculoskeletal biomechanics and soft wearable sensors, enabling more intuitive control of robotic prostheses and exoskeletons. Wan’s most cited paper, “Wrist Angle Estimation With a Musculoskeletal Model Driven by Electrical Impedance Tomography Signals” (2021, 21 citations), introduced a novel method for continuous wrist kinematics estimation using EIT signals—a breakthrough for non-invasive, high-resolution muscle monitoring. He further advanced the field with “Adaptive Locomotion Transition Recognition With Wearable Sensors for Lower Limb Robotic Prosthesis” (2023, 12 citations), addressing real-world challenges like socket redonning and individual variability through adaptive algorithms. His work on transfer learning for cross-subject hand gesture recognition (2023, 12 citations) and fabric-based sensing for motion intent recognition (2024) demonstrates a commitment to practical, user-adaptive systems. By integrating bend sensors into elastic sleeves and leveraging superellipse-based modeling, Wan is pushing the boundaries of wearable technology—making robotic assistance more responsive, comfortable, and accessible for amputees and rehabilitation patients.