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Northwestern University
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Achieving superior annotation efficiency and task success rates, AnnotateAnything revolutionizes how 3D assets are prepared for robot manipulation.
MagicSim revolutionizes robot learning by merging diverse world construction and execution into a single, efficient framework that enhances both evaluation and interaction capabilities.
Socratic tutors can be effectively trained via RL by decoupling student cognitive states, using generative pedagogical rewards, and stabilizing multi-objective optimization.
VLMs struggle to meaningfully ground numerical outputs in spatial contexts, often performing at chance levels in critical tasks.
Video diffusion models can now generate physically plausible 4D worlds thanks to a new pipeline that combines pretraining, supervised fine-tuning, and reinforcement learning.
