Papers
4
Total Citations
123
H-Index
3
About
Kaiqi Guo is a leading researcher in rehabilitation robotics, with a focus on developing intelligent exoskeletons and robotic systems to restore human mobility. His work centers on three key areas: gait rehabilitation for stroke patients, human-robot interaction safety, and autonomous path planning for mobile robots. Guo’s most impactful contribution is his 2021 paper on a cable-driven exoskeleton powered by series elastic actuators (SEAs), which has garnered 75 citations for its novel approach to enhancing gait symmetry—a critical quality-of-life metric for chronic stroke survivors. He further advanced the field by designing a revolute-prismatic-revolute (RPR) mechanism to reduce human-exoskeleton knee joint misalignment, a major safety concern that can cause injury during rehabilitation. In robotics, Guo proposed an improved Sparrow Search Algorithm (SSA) for dynamic path planning, achieving 41 citations by addressing the algorithm’s high time-consumption and inability to avoid moving obstacles. His 2019 work on trajectory determination for robot-assisted ankle ligament rehabilitation, while less cited, demonstrates his commitment to precision in therapeutic robotics. Guo’s research uniquely bridges mechanical design, control systems, and clinical application, making him a notable figure in assistive technology.
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