Stephen McKinley
Papers
12
Total Citations
1,105
H-Index
10
About
Stephen McKinley is a leading roboticist whose work spans two transformative domains: universal robotic grasping and autonomous surgical robotics. His research addresses fundamental challenges in reliable manipulation—from e-commerce order fulfillment to robot-assisted minimally invasive surgery (RMIS). McKinley’s most influential contribution is his work on ambidextrous robot grasping policies (578 citations), which tackles the grand challenge of universal picking: enabling robots to reliably grasp diverse novel objects from cluttered heaps. In surgical robotics, he pioneered the Suture Needle Angular Positioner (SNAP) and a sequential convex optimization framework for automating multi-throw suturing (168 citations), demonstrating that complex surgical subtasks can be performed with superhuman precision. His innovations extend to autonomous tumor localization using Gaussian Process adaptive sampling (73 citations), cable-driven robot calibration for surgical debridement (77 citations), and low-cost haptic palpation probes for blood vessel detection (70 citations). Beyond the operating room, McKinley has applied his manipulation expertise to precision agriculture, developing co-robotic systems for automated drip irrigation tuning. His work on the Blue Gripper—a robust, force-controlled, low-cost robot hand—exemplifies his commitment to practical, deployable solutions that bridge the gap between cutting-edge research and real-world impact.
Research Focus
Key Achievements
Top Papers
- 1Learning ambidextrous robot grasping policies578 citations · 2019
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- 6Design of parallel-jaw gripper tip surfaces for robust grasping50 citations · 2017
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- 9Robustly Adjusting Indoor Drip Irrigation Emitters with the Toyota HSR Robot14 citations · 2018
- 10Blue Gripper: A Robust, Low-Cost, and Force-Controlled Robot Hand13 citations · 2019