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Decoupling high-level VLM planning from low-level diffusion-based control lets robots reason like foundation models *and* execute precisely, outperforming end-to-end approaches in complex manipulation tasks.
Forget painstakingly creating 3D assets for robot training - ManiTwin automates the process, turning single images into simulation-ready objects at scale.
Forget slow per-scene optimization: ReconDrive uses a fast feed-forward approach to generate high-fidelity 4D Gaussian Splatting for autonomous driving, rivaling optimization-based methods in quality while being orders of magnitude faster.
Forget short-term context windows: VPWEM's Transformer-based memory compressor lets robots ace long-horizon manipulation tasks by distilling past observations into fixed-size episodic memories.
