Project 6: Hand-Eye Coordination Algorithm for a Minimally Invasive Surgical Robot
Contact Information:
Prof. Qixin Cao
Email: qxcao@sjtu.edu.cn
Project Description and Objectives:
Typical minimally invasive surgical robots are generally controlled by remote operation; that is, doctors use a main hand device to control the distal surgical robot to carry out operations according to the endoscopic image. This approach has a variety of advantages. On one hand, the robot can be more stable and accurate than the doctor's hand, on the other hand, it is very useful for surgeries that need to be operated in the X-ray environment, such as some orthopedic surgeries. More importantly, the isolation of doctors and patients by geographical location can make the future realize the sharing of genuine medical resources. Excellent doctors can be shared with people around the world.
The hand-eye coordination algorithm studied in this project aims to establish a mapping between hand movements and endoscopic images to enhance doctors’ surgical precision. Hand-eye coordination involves the control of the robot, the coordinate system transformation, etc. This is one of the core technologies utilized by remote operation.
Eligibility Requirements:
The interested student should have a basic knowledge of robot controls and coordinate transformation.
Main Tasks:
Finish a research report.
Give two research presentations (a. references review; b. technical presentation).
Website: