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.