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DREAM-Chunk transforms action chunking by leveraging latent world models to enhance robustness against stochastic dynamics without the need for policy retraining.
Humanoid robots can achieve real-time state estimation on moving ground with 80% less positional error using only onboard sensors.
Real-time constrained motion planning for complex robots is now feasible, thanks to a 100-1000x speedup achieved through SIMD parallelization of projection-based constraint satisfaction.
