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About

Zonghao Dong is a robotics researcher whose work sits at the intersection of rehabilitation engineering and human-robot interaction, with a primary focus on developing intelligent assistive technologies for individuals with neurological injuries and mobility impairments. His key contributions center on the design and evaluation of mobile body weight support (BWS) systems for overground gait training, addressing a critical gap in rehabilitation robotics by enabling patients with conditions like stroke, spinal cord injury, and cerebral palsy to practice walking in natural, real-world environments rather than being confined to treadmill-based setups. Dong’s most cited work, "Control and Evaluation of Body Weight Support Walker for Overground Gait Training" (14 citations), established a foundational framework for robotic BWS systems that dynamically adjust support during walking. He has further advanced the field by integrating wearable sensors for performance evaluation and developing 3D visual skeleton recognition for real-time sit-to-stand phase classification—a crucial capability for assisting older adults with daily transitions. His recent forays into robot ethics demonstrate a thoughtful consideration of the broader societal implications of deploying assistive robots in human environments. With a growing portfolio of publications spanning 2021 to 2025, Dong’s research is steadily building impact in the rehabilitation robotics community, offering practical pathways toward more autonomous, safe, and effective mobility assistance.