Presentation
ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting
DescriptionWe present a reinforcement learning-based retargeting method that transfers human motion to diverse morphologies, including humanoids and a quadruped, without artifacts such as foot-sliding, hovering, or self-penetration. A bilevel optimization framework refines upper-loop retargeting parameters defined via sparse semantic correspondences while training the lower-loop RL policy, eliminating manual correspondence tuning.
Event Type
Technical Paper
TimeWednesday, 22 July 20269:30am - 9:40am PDT
LocationRoom 403 A
Digital Library
PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Wednesday, 22 July 20269:00am - 10:30am PDTRoom 403 A
Animation
Artificial Intelligence/Machine Learning
Robotics
Simulation
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