Guanya Shi
CMU / Amazon FAR researcher focused on learning-based control and sim-to-real transfer.
“Expert in robot learning and control. His lab provided the physical infrastructure and fleet architecture for the experiments.”
Source→“Mana achieves zero-shot sim-to-real transfer — no real-world demonstration data was collected. The full pipeline generates training data in simulation, trains a visuomotor policy, and deploys directly on a physical Allegro hand.”
Source→“The paper lists Amazon FAR (Fundamental AI Research) as a co-affiliation of all four authors (title page). This is an Amazon-affiliated research output, signaling Amazon's investment in dexterous physical AI capabilities.”
Source→“Guanya Shi holds concurrent appointments as an Assistant Professor at Carnegie Mellon University and as an Amazon Scholar.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.