C. Karen Liu

“C. Karen Liu (Stanford)... Leading figure in character animation and physics-based simulation”

“C. Karen Liu1,4† (Author Affiliations)”

“Listed as equal advising contributor.”

“Rather than maintaining separate neural networks for design generation, design evaluation, and robot control, Transformer Transformer consolidates all three into a single diffusion transformer.”

“The paper introduces RoboToken, a tokenization scheme that converts any articulated robot's embodiment (links, joints, motors), states, and actions into a consistent sequence of continuous-valued vectors.”

“Co-author with deep expertise in physics-based character animation and contact dynamics. Brings the dynamics modeling and simulation expertise critical to the paper's approach.”

“C. Karen Liu — Stanford University. Prominent researcher in character animation, motion synthesis, and humanoid control. Co-author on OmniH2O and OmniRetarget (cited as [15, 72]), which are foundational to humanoid whole-body control.”

“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.”

“When real-world demonstrations are difficult to acquire and end-to-end reinforcement learning from scratch is too brittle, we turn to Computer Animation.”

“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.”