Papers
11
Total Citations
581
H-Index
10
About
Advait Jain is a leading roboticist whose research focuses on assistive mobile manipulation, tactile sensing, and human-robot interaction. His most influential work centers on developing robots that can autonomously navigate and interact with cluttered, unstructured human environments. Jain’s landmark paper, "EL-E: an assistive mobile manipulator that autonomously fetches objects from flat surfaces" (170 citations), introduced a groundbreaking system that empowers motor-impaired users by retrieving objects on command. He further advanced the field with "Reaching in clutter with whole-arm tactile sensing" (107 citations), demonstrating how robots can use tactile feedback to perceive and maneuver through clutter while maintaining low contact forces—a critical capability for safe, real-world operation. Jain also pioneered the application of Equilibrium Point Control (EPC) for robustly opening doors and drawers (79 and 48 citations), enabling compliant, adaptive manipulation without prior knowledge of the mechanism. His user study on object delivery (45 citations) provided key insights into assistive robot design. With over 500 total citations, Jain’s work has profoundly shaped the development of physically capable, socially aware assistive robots, bridging the gap between laboratory research and practical, life-enhancing technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Reaching in clutter with whole-arm tactile sensing107 citations · 2013
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- 4Pulling open novel doors and drawers with equilibrium point control48 citations · 2009
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- 7Behavior-Based Door Opening with Equilibrium Point Control31 citations · 2009
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