Zhan Chua
Papers
1
Total Citations
3
H-Index
1
About
Zhan Chua is a researcher at the forefront of surgical robotics and haptic training, whose work explores how virtual environments and force feedback can reshape surgical skill acquisition. In his most-cited study, "Robot-Assisted Surgical Training Over Several Days in a Virtual Surgical Environment with Divergent and Convergent Force Fields" (2019), Chua investigates the effects of perturbed force fields on motor learning and retention over multi-day training regimens. This research offers critical insights into how surgeons can adapt to varying haptic conditions, potentially accelerating proficiency in robot-assisted procedures. Though his citation count is still building—with the 2019 paper garnering 3 citations—Chua’s contributions are notable for their rigorous experimental design and practical implications for surgical education. By bridging robotics, virtual reality, and cognitive motor learning, he is laying groundwork for more adaptive, personalized training tools. His work is especially relevant for students and researchers interested in the intersection of human performance and robotic systems, where even small advances can have outsized impacts on patient safety and surgical outcomes.
Research Focus
Key Achievements
Top Papers
- 1