Jiaji Zhou
Papers
8
Total Citations
288
H-Index
6
About
Jiaji Zhou is a leading researcher in robotic manipulation, with a core focus on the mechanics of planar sliding, pushing, and grasping. His most significant contribution is the development of a convex polynomial force-motion model for planar sliding, which elegantly represents the set of generalized friction loads as the 1-sublevel set of a convex, even-degree homogeneous polynomial. This model, detailed in his highly cited 2016 and 2018 papers (garnering 99 and 59 citations respectively), provides a rigorous, computationally tractable framework for understanding and predicting frictional interactions. Zhou’s work on pushing is equally transformative; he proved that quasi-static pushing with a sticking contact is differentially flat, effectively reducing the pusher-slider system to a classic Dubins car problem. This insight, published in 2019 (55 citations), enables sophisticated trajectory planning and stabilization. Beyond deterministic models, he has pioneered probabilistic planning for grasping under uncertainty (40 citations) and developed fast stochastic contact models validated experimentally. His research bridges elegant mathematical theory with practical robotic applications, offering foundational tools for dexterous manipulation.
Research Focus
Key Achievements
Top Papers
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- 4A Probabilistic Planning Framework for Planar Grasping Under Uncertainty40 citations · 2017
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