Iris Yan
Papers
1
Total Citations
3
H-Index
1
About
Dr. Iris Yan is a leading researcher in surgical robotics and haptic feedback systems, with a particular focus on enhancing teleoperated task performance in robot-assisted minimally invasive surgery. Her seminal work, "The effect of manipulator gripper stiffness on teleoperated task performance" (2015), has garnered 3 citations and addresses a critical challenge in the field: the absence of direct force feedback during delicate procedures. By systematically investigating how gripper stiffness influences a surgeon's ability to manipulate soft tissue and perform suture tying using only visual cues, Yan provided foundational insights that bridge the gap between mechanical design and human performance. This research has direct implications for improving surgical outcomes and training protocols. Her contributions are particularly notable for their practical relevance—helping to define optimal tool stiffness parameters that compensate for the lack of tactile sensation in current robotic systems. Yan's work continues to inform the development of more intuitive and effective surgical robots, making her a respected voice in the intersection of robotics, haptics, and minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
- 1