Projects
Work spanning brain-computer interfaces, human-in-the-loop reinforcement learning, and robot perception. Click a project to read more.
BCI · RL
Offline NEURO-LOOP
A reinforcement learning framework that integrates implicit neural feedback into robot policy learning from an offline dataset.
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fNIRS · RL
Mapping fNIRS to Agent Performance
Investigating whether passive prefrontal fNIRS signals can serve as feedback for aligning agent policies with user expectations.
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Robotics
SpheroHunter
Predicting a Sphero’s location through occlusions so a LoCoBot can track and follow it through a maze.
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