Papers

30

Total Citations

509

H-Index

13

About

Yan-Bin Jia is a pioneering robotics researcher whose work sits at the intersection of robotic manipulation, tactile sensing, and computational mechanics. His research has fundamentally advanced our understanding of how robots can interact with the physical world — particularly in grasping, cutting, and dynamic object manipulation. Jia's most influential contributions center on robotic interaction with deformable objects. His work on squeezing and lifting soft 3D objects (57 citations) drew inspiration from human hand behavior to develop practical liftability criteria, while his complementary studies on grasping deformable planar objects (46 citations) tackled the thorny mechanics of changing wrench spaces and contact area evolution. He has also made significant strides in robotic cutting, producing a rigorous mechanical framework for controlling knife motion through fracture and friction (50 citations). Beyond grasping, Jia has explored tactile surface reconstruction and object recognition from one-dimensional contact data, enabling robots to "feel" their way to understanding unknown geometries. His dynamic manipulation research extends to high-speed impact modeling (30 citations) and the remarkably challenging problem of precision batting of in-flight objects (35 citations). With over 340 cumulative citations, Jia's body of work represents a comprehensive, mathematically grounded approach to making robots dexterous, adaptive, and physically intelligent.

Research Focus

Key Achievements

13
H-Index
30
Papers
509
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Picking up a soft 3D object by “feeling” the grip
57 citations · 2015
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Iowa State University, Carnegie Mellon University, Merck Canada Inc. (Canada)

Top Papers

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    Pose and Motion from Contact
    42 citations · 1999
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago