TY - GEN
T1 - Towards validation of robotic surgery training assessment across training platforms
AU - Gao, Yixin
AU - Sedef, Mert
AU - Jog, Amod
AU - Peng, Peter
AU - Choti, Michael
AU - Hager, Gregory
AU - Berkley, Jeff
AU - Kumar, Rajesh
PY - 2011
Y1 - 2011
N2 - Robotic surgery is increasingly popular for a wide range of complex minimally invasive surgery procedures. To improve robotic surgery training, a skills trainer simulator called dV-Trainer has recently been introduced, and a da Vinci Skills Simulator is in advanced evaluation. These platforms report a range of time and motion based task metrics and literature has investigated the validity of these metrics in training studies. However, the lack of a cross-platform data collection system has so far prevented a cross-platform investigation. Using a new architecture for collecting cross-platform motion data, we present the first study investigating whether metrics previously validated in simulation environments also hold in training exercises with a real robotic system. Preliminary experiments for an anastomosis needle throwing task in both simulated and real robotic environments are presented, and corresponding performance metrics for both proficient and trainee users are reported.
AB - Robotic surgery is increasingly popular for a wide range of complex minimally invasive surgery procedures. To improve robotic surgery training, a skills trainer simulator called dV-Trainer has recently been introduced, and a da Vinci Skills Simulator is in advanced evaluation. These platforms report a range of time and motion based task metrics and literature has investigated the validity of these metrics in training studies. However, the lack of a cross-platform data collection system has so far prevented a cross-platform investigation. Using a new architecture for collecting cross-platform motion data, we present the first study investigating whether metrics previously validated in simulation environments also hold in training exercises with a real robotic system. Preliminary experiments for an anastomosis needle throwing task in both simulated and real robotic environments are presented, and corresponding performance metrics for both proficient and trainee users are reported.
UR - http://www.scopus.com/inward/record.url?scp=84455172143&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84455172143&partnerID=8YFLogxK
U2 - 10.1109/IROS.2011.6048437
DO - 10.1109/IROS.2011.6048437
M3 - Conference contribution
AN - SCOPUS:84455172143
SN - 9781612844541
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 2539
EP - 2544
BT - IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
T2 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11
Y2 - 25 September 2011 through 30 September 2011
ER -