Stephen McKinley

Berkeley College, University of California, Berkeley

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

10
H-Index
12
Papers
1,105
Total Citations
92
Avg Citations/Paper
🏆 Most Cited Paper
Learning ambidextrous robot grasping policies
578 citations · 2019
📈 Most Prolific Year: 2016 (4 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: Berkeley College, University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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