About

My group studies how robots can acquire useful behavior from a handful of human demonstrations. We combine tactile sensing and human-centered evaluation.

Featured research

012024–26

Robots that learn from a single demonstration

A compact dexterous policy that can adapt after one human example.

RoboticsImitation learning

Publications

Publication figure for One-shot policy learning through tactile priors

RSS · 2026

Featured

One-shot policy learning through tactile priors

M. Patel, J. Kim, A. Rodriguez

A tactile prior reduces the demonstration data needed for dexterous policy learning.

RoboticsTactile learning