Papers
3
Total Citations
129
H-Index
3
About
Zihao Yang is a leading researcher at the intersection of robotics, human-robot interaction, and assistive technologies, with a primary focus on addressing the challenges of global aging populations. His work centers on developing safe, compliant, and intelligent robotic systems for elderly care and rehabilitation. Yang’s major contributions include pioneering distributed control schemes for redundant robot manipulators, where his perturbed manipulability optimization method (2020, 61 citations) provides a robust solution for avoiding singularities in cooperative robotic networks. He has also advanced noncontact interactive approaches for wheeled walking aid robots (2022), enabling fall detection and gait assistance with enhanced safety and compliance. His most impactful work, "Research status of elderly-care robots and safe human-robot interaction methods" (2023, 65 citations), comprehensively surveys the field and proposes critical frameworks for safe interaction between humans and care robots. With over 129 citations across his key publications, Yang’s research is instrumental in shaping the future of assistive robotics, offering scalable, human-centered solutions for disability nursing and rehabilitation. His work stands out for its practical emphasis on safety and adaptability, making him a notable figure in the drive toward autonomous, empathetic care technologies.
Research Focus
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