P1
Exploration-efficiency metrics for RL
Proposed and validated novel metrics for quantifying exploration efficiency in reinforcement learning; published in TMLR (2024).
Proposed and validated novel metrics for quantifying exploration efficiency in reinforcement learning; published in TMLR (2024).
Awarded best presentation for data-driven improvements in robotic manipulator control.
Led the spin-out and secured six-figure investment to commercialize adhesive-application robotics.
Designed and prototyped an automated system for preparing a traditional African staple, improving throughput and consistency for community kitchens.