Papers
39
Total Citations
2,448
H-Index
17
About
Jeff Trinkle is a pioneering roboticist whose career has profoundly shaped our understanding of robotic manipulation, grasping, and simulation. Best known for his foundational work on multi-fingered robotic hands, Trinkle developed elegant mathematical frameworks for analyzing grasp quality and force closure using linear matrix inequalities — work that has garnered over 460 citations across multiple publications and remains a cornerstone reference for manipulation researchers worldwide. His investigations into dexterous manipulation with rolling contacts and enveloping grasps further expanded the theoretical toolkit available to roboticists tackling real-world object handling challenges. Trinkle has also been a leading voice on the role of simulation in robotics, examining both the opportunities and limitations of virtual environments for training and testing autonomous systems, work that has attracted considerable attention as the field increasingly relies on sim-to-real transfer. His contributions extend beyond individual research to shaping the broader community: he helped organize the prestigious Robotics: Science and Systems conference (over 1,000 citations) and co-authored the influential U.S. Robotics Roadmap. With over 1,800 total citations across his most-cited works alone, Trinkle's legacy spans theoretical rigor, practical manipulation, and strategic vision for the future of robotics.
Research Focus
Key Achievements
Top Papers
- 1Robotics: Science and Systems (RSS)1,084 citations · 2010
- 2Grasp analysis as linear matrix inequality problems240 citations · 2003
- 3Grasp analysis as linear matrix inequality problems222 citations · 2000
- 4
- 5Toward next-generation learned robot manipulation104 citations · 2021
- 6Dextrous manipulation with rolling contacts85 citations · 2002
- 7
- 8A Roadmap for US Robotics – From Internet to Robotics 2020 Edition53 citations · 2021
- 9
- 10On the Similarities and Differences Among Contact Models in Robot Simulation38 citations · 2019