Kyaw Kyar Toe
Papers
5
Total Citations
37
H-Index
3
About
Kyaw Kyar Toe is a researcher at the intersection of neuroscience, robotics, and surgical training, whose work pushes the boundaries of how brain signals can control machines and how robots can teach surgical skills. His most impactful contribution lies in developing an asynchronously continuous brain-computer interface (BCI) that enables subjects to drive a mobile robot using only motor cortical spiking activity—a breakthrough with profound implications for restoring mobility to disabled patients (14 citations). Toe further explored the neural basis of self-motion by training a non-human primate to control a robotic platform via a brain-machine interface, decoding movement intentions in real time (6 citations). In surgical robotics, he investigated whether robots can accelerate the learning curve for trainees, analyzing residents and medical students to show that high-fidelity simulation with haptics and friction compensation can improve skill acquisition (11 citations). His work on statistical modeling of motion trajectories for robotic laparoscopic surgery also demonstrates how learning from demonstration can enable robots to perform precise surgical tasks. Toe’s research elegantly bridges neuroengineering and medical robotics, offering tangible pathways toward assistive technologies and enhanced surgical education.
Research Focus
Key Achievements
Top Papers
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- 4Surgical Simulation Robot with Haptics and Friction Compensation3 citations · 2016
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