Papers
2
Total Citations
18
H-Index
1
About
Shuqing Dai is a leading researcher in the field of cable-driven robotics, with a primary focus on the design, stiffness optimization, and integrated control of humanoid manipulators and dexterous hands. Their major contributions lie in addressing the fundamental challenge of low stiffness in cable-driven systems—a critical barrier to safe and effective human-robot interaction. In their highly cited 2024 work, "Stiffness Optimization of Cable-Driven Humanoid Manipulators," Dai pioneered methods to enhance the rigidity and precision of these flexible, lightweight arms, directly enabling more robust performance in collaborative environments. Building on this, their 2025 study on a "Flexible Cable-Driven Dexterous Hand and Arm–Hand Integrated System" tackles the complex problem of replicating human hand dexterity within a fully integrated robotic limb. This work is pivotal for advancing cooperative robots that require both delicate manipulation and safe physical interaction. With a rapidly growing citation impact—including 17 citations on their stiffness optimization paper alone—Dai is establishing themselves as a key innovator in the next generation of safe, human-like robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Stiffness Optimization of Cable-Driven Humanoid Manipulators17 citations · 2024
- 2