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G0.5 achieves unprecedented performance in robot reasoning and action by merging decision-making and execution into a single autoregressive framework, outperforming existing models across seven challenging benchmarks.
SLAMFormer-$\infty$ can handle trajectory sequences over 17 km without losing performance, revolutionizing long-range SLAM capabilities.
Orca's unified world latent space enables superior performance in diverse tasks, outperforming specialized models with a single framework.
PAIWorld resolves critical multi-view inconsistencies in robotic manipulation, outperforming existing models and unlocking new applications in the process.
Advanced planners still exhibit critical safety failures, with FluidTest uncovering new threats in over 65% of evaluated trajectories.
Retargeting human demonstrations to robots can now achieve a 40.6% increase in training success while preserving crucial hand-object interactions.
OMG showcases a breakthrough in humanoid control by seamlessly integrating multi-modal inputs, achieving superior adaptability and performance.
Naive preprocessing throws away the subtle clues that reveal AI-generated videos, but processing at native resolution can expose them.
By explicitly reasoning in 3D, VolumeDP leaps ahead of 2D-based imitation learning methods, achieving a remarkable 14.8% improvement on the LIBERO benchmark and robust real-world generalization.
Ditch fixed compute budgets: this new flow-matching method for robotic control adaptively allocates computation, speeding up simple tasks and focusing on complex ones.
