Papers
2
Total Citations
11
H-Index
2
About
Jinzhe Li is a researcher at the forefront of human-robot interaction, specializing in the design of safe, adaptive robotic systems for therapeutic and assistive applications. His work uniquely bridges soft robotics and intelligent control, with a particular focus on massage robots and variable stiffness actuators. Li’s most cited paper, “The force control and path planning of electromagnetic induction-based massage robot” (2017, 8 citations), addresses a critical gap in commercial massage devices by introducing sophisticated force control and path-planning algorithms to enhance therapeutic efficacy and user comfort. Building on this, his 2019 study “Design and Analysis of Variable Flexible Actuator for Human-Robot Interaction” (3 citations) tackles the inherent safety limitations of traditional high-rigidity robots. By leveraging the magnetorheological (MR) effect of MR fluids, Li proposed a novel variable stiffness actuator that can dynamically adjust its compliance, ensuring safer physical collaboration between humans and machines. Though his citation counts are modest, these foundational works demonstrate a clear trajectory toward creating inherently safe, adaptable robots for intimate human contact—a critical step for the future of rehabilitation and personal care robotics.
Research Focus
Key Achievements
Top Papers
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