Papers
5
Total Citations
41
H-Index
4
About
Teru Chen is a pioneering roboticist whose research sits at the intersection of medical robotics, continuum manipulators, and intelligent sensing. Chen’s work has fundamentally advanced the design and control of surgical robots, with a particular focus on enhancing autonomy and precision in minimally invasive procedures. One of Chen’s most impactful contributions is the development of a 3D-printed, cable-driven humanoid hand that uses a bidirectional elastomeric passive transmission, achieving a critical balance between cost, speed, and dexterity—work that has garnered 16 citations. Chen has also made significant strides in ultrasound-guided robotic surgery, introducing a novel simultaneous calibration approach for dual-robot systems by solving the AXP = YCQ problem, and developing real-time deformation tracking and prediction algorithms that enable autonomous operation. Further notable achievements include a sensing strategy that integrates kinematic models with Fiber Bragg Grating sensors for continuum robots, and an automatic prostate surgical region reconstruction method using multilevel learning. With a growing citation record and a clear trajectory toward intelligent, adaptive surgical systems, Teru Chen is establishing a reputation as a key innovator in the next generation of medical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5