Rodney L Dockter
Affiliations: | University of Minnesota, Twin Cities, Minneapolis, MN |
Area:
Mechanical Engineering, RoboticsGoogle:
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Publications
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| Stephens TK, Kong NJ, Dockter RL, et al. (2018) Blended shared control utilizing online identification : Regulating grasping forces of a surrogate surgical grasper. International Journal of Computer Assisted Radiology and Surgery |
| O'Neill J, Lu J, Dockter R, et al. (2018) Stretchable, Flexible, Scalable Smart Skin Sensors for Robotic Position and Force Estimation. Sensors (Basel, Switzerland). 18 |
| Dockter RL, Lendvay TS, Sweet RM, et al. (2017) The minimally acceptable classification criterion for surgical skill: intent vectors and separability of raw motion data. International Journal of Computer Assisted Radiology and Surgery |
| White LW, Kowalewski TM, Dockter RL, et al. (2015) Crowd-Sourced Assessment of Technical Skill (C-SATS): A Valid Method for Discriminating Basic Robotic Surgery Skills. Journal of Endourology / Endourological Society |
| Doud A, Dockter R, Vetter D, et al. (2014) Low-cost assessment tools for the development of psychomotor competency in procedural surgical skills Mechanical Sciences. 5: 17-19 |
| Dockter R, Kowalewski TM. (2014) A framework for calibrating and benchmarking computer vision algorithms in surgical robotics Journal of Medical Devices, Transactions of the Asme. 8 |
| Doud AJ, Dockter R, Chauhan S, et al. (2013) Automated electro-mechanical assessment of psychomotor skill for high-stakes certification in surgical robotics Journal of Medical Devices, Transactions of the Asme. 7 |
| Dockter R, Kowalewski TM. (2013) A low-cost computer vision based approach for tracking surgical robotic tools Journal of Medical Devices, Transactions of the Asme. 7 |