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About

Shichang Song is a pioneering researcher in the field of robotic systems for healthcare and industrial applications, with a particular focus on assistive and rehabilitation robotics. His work addresses critical societal challenges, especially the growing need for elderly care and rehabilitation solutions driven by global aging populations. Song’s most influential paper, “Research Progress and Prospect of Nursing Robot” (2018, 19 citations), provides a comprehensive overview of robotic solutions for disabled elderly care, highlighting that over 85% of seniors prefer aging in place. He has made significant contributions to hand function rehabilitation through robotics, developing systems that restore motor function in patients with hemiplegia and hand injuries—conditions that severely impact daily life and work capacity. Song has also advanced upper limb exoskeletal rehabilitation and explored innovative applications such as active capsule endoscope robots for non-invasive gastroscopy and centroid deviation type spherical robots for versatile mobility. His work on robotic grinding end-effectors demonstrates his versatility, bridging healthcare and industrial robotics. Through his research, Song is helping to shape a future where robots seamlessly assist in both medical recovery and manufacturing precision.