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University of California
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Task-aligned simulated futures can dramatically improve robot policy training, especially for complex, long-horizon tasks.
SliceScorer reveals critical coverage gaps in driving VLMs that traditional methods overlook, enhancing safety validation in real-world applications.
Control over physical properties like friction and restitution in generated videos is now possible, paving the way for more realistic and controllable video synthesis.
Editing driving scenes with language just got a whole lot better: HorizonWeaver lets you scalably generate photorealistic, controllable scenarios, outperforming existing methods by a wide margin.
Real-time autonomous driving with language models is now possible, achieving 3x speedup and state-of-the-art performance by combining learned and rule-based planning.
