Distributional Representations and Scalable Simulations for Real-to-Sim-to-Real

Explore the challenges and solutions in representing deformable objects through this Stanford seminar. Delve into a distributional approach to state representation for deformables, real-to-sim techniques using differentiable simulators, and simulation environments for large-scale training. Gain insights from Rika Antonova's presentation on distributional representations and scalable simulations for real-to-sim-to-real applications with deformables. Discover the latest advancements in robotics and autonomous systems research, offering valuable knowledge for those interested in the field of deformable object manipulation and simulation.

Stanford Seminar - Distributional Representations and Scalable Simulations for Real-to-Sim-to-Real