Max Robotics — Global Service Robot Directory + US Certification

About

Jin Ma is a pioneering researcher at the intersection of computer vision, robotics, and intelligent sensing, whose work spans industrial scene reconstruction, human-robot interaction, and soft sensor technology. Ma’s most impactful contribution comes from the development of the Edge-Assisted Epipolar Transformer for Multiple View Stereo (MVS), a novel approach that overcomes the limitations of traditional pixel-visibility modules by enforcing consistency in 3D depth features, achieving 39 citations since 2024 and setting a new standard for industrial scene reconstruction. In the realm of rehabilitation robotics, Ma introduced a tightly coupled Convolutional Transformer model that enables end-to-end, continuous prediction of human knee joint angles from surface electromyography (sEMG) signals, a breakthrough that simplifies complex feature extraction and enhances human-computer interaction in wearable exoskeletons. Ma also advanced soft robotics with an ionic liquid-optoelectronics-based multimodal soft sensor, capable of simultaneously detecting multiple physical properties for smart wearables. With additional work on forward kinematics using quantum genetic algorithms, Ma’s research demonstrates a consistent drive to integrate deep learning, biomechanics, and novel materials, earning recognition for pushing the boundaries of autonomous systems and assistive technology.