Gao

Papers

Total Citations

H-Index

About

Gao’s research focuses on the intersection of robotics, surgical intervention, and automated manufacturing, with key contributions in needle steering for robot-assisted soft tissue insertion and robotic belt grinding process optimization. In their seminal 2012 survey on needle steering, Gao systematically analyzed control algorithms, kinematic models, and path planning techniques—such as artificial potential fields and nonholonomic models—to improve needle placement accuracy and obstacle avoidance in soft tissues. This work, cited 19 times, established a foundational framework for developing flexible needles and guiding future research in surgical robotics. Gao also advanced manufacturing automation through a 2011 study on designing and optimizing an off-line programming system for robotic belt grinding, which enhanced precision and efficiency in surface finishing processes. By integrating virtual spring models and cantilever beam theories to predict needle deflection, Gao’s contributions have bridged theoretical modeling with practical applications, supporting safer and more reliable robotic-assisted procedures. Their work continues to influence both surgical robotics and industrial automation, offering valuable insights for researchers and engineers seeking to improve robot control in complex, real-world environments.