Max Robotics — Global Service Robot Directory + US Certification

About

Golchehr Amirkhani is a leading researcher in surgical robotics, with a focus on continuum and soft robots for minimally invasive surgery. Her major contributions include developing autonomous grasping algorithms for soft tissues during robotic surgery, as demonstrated in her work on an extended algorithm for autonomous grasping, which has garnered 16 citations. She has also advanced cooperative control systems for retinal surgery, such as the Steady Hand Eye Robot, which mitigates hand tremor and improves precision in delicate procedures like retinal vein cannulation, earning 11 citations. Amirkhani's research on uncertainty-aware shape estimation of surgical continuum manipulators using Fiber Bragg Grating sensors (5 citations) enhances shape-based feedback control in constrained environments. Her systematic review on continuum and soft robots in MIS (18 citations) highlights her impact on faster recovery and reduced trauma. Additionally, she has developed haptic virtual training systems using output feedback MPC (4 citations), improving surgical training. With over 50 citations across her key works, Amirkhani's innovative approaches to autonomous control, cooperative robotics, and sensor integration are shaping the future of robotic surgery, offering safer and more precise tools for clinicians and patients.