Hi, I’m Suzhongyu (苏中玉). Online I usually go by 某不科学的虚.
I work at the intersection of mechanics and robotics: how tendon-driven transmissions shape what a robot hand can do, how to model that faithfully, and how to make the simulated hand behave like the real one. My background is engineering mechanics, and I care about the gap between a clean equation and a robot that actually moves.
For education, research experience, and skills, see my CV.
Research interests
- Tendon-driven robotic hands — routing, friction, wrapping, transmission efficiency
- Soft and continuum robotics — constitutive models, static modeling, fabrication-aware design
- Simulation and control — MuJoCo models, tendon actuators, joint-space control loops
- Embodied intelligence — vision-language-action models, and what manipulation policies need from hardware
- Mechanics-informed learning — using structure instead of brute force
What I’m working on
- Building and validating a tendon-driven biomimetic hand in MuJoCo, including tendon routing and an angle outer-loop controller.
- Re-implementing papers on dexterous manipulation with tendon-driven hands.
- Exploring VLA models for manipulation and thinking about the sim-to-real gap.
Elsewhere
- GitHub: @jokerxuxu
- Google Scholar: YOUR_SCHOLAR_ID
- Email: suzhongyu@zju.edu.cn