Collision detection and untangling for surgical robotic manipulators.
BACKGROUND
Robotic-assisted minimally invasive surgery provides several advantages over traditional surgery; however, it also has several drawbacks, such as possible collisions between the robotic arms and a limited field of view.


METHODS
A generic method for tracking the configuration of a surgical manipulator in real time is presented. It is coupled with a collision detection and dynamic simulation algorithm, allowing the operator to detect collisions between robotic arms before they happen and presenting the best possible untangling direction to get out of collisions.


RESULTS
Our algorithm successfully tracks the configuration of the Zeus surgical system and accurately detects possible collisions in real time. A pilot study on our system proved its efficiency in reducing the duration and severity of collisions, at the price of longer completion times.


CONCLUSIONS
Our system helps alleviate the collision problem by reducing the time in collision.
Interventional Centre, Faculty of Medicine, University of Oslo, Norway. tangui.morvan@medisin.uio.no
Tangui
T
Morvan
Magnar
M
Martinsen
Martin
M
Reimers
Eigil
E
Samset
Ole Jakob
OJ
Elle
D000465:Algorithms; D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005246:Feedback; D015203:Reproducibility of Results; D012371:Robotics / Q000295:instrumentation* / Q000379:methods*; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000295:instrumentation* / Q000379:methods*