3 accepted papers
This paper presents algorithms for three-dimensional tracking of surgical needles using the stereo endoscopic camera images obtained from the da Vinci® Surgical Robotic System. The proposed method employs Bayesian state estimation, computer vision techniques, and robot kinematics. A virtual needle r…
This paper presents an approach to supervisory control of a DaVinci surgical robot. At present, such robots are controlled by teleoperation, with dissimilar kinematics of the operator interface vs. the robot. As a result, it can be difficult for the operator to visualize the kinematic restrictions o…
In order to realize many of the potential benefits associated with robotically assisted minimally invasive surgery, the robot must be more than a remote controlled device. Currently using a surgical robot can be challenging, fatiguing, and time consuming. Teaching the robot to actively assist surgic…