Search papers, labs, and topics across Lattice.
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RoMAN-Flow slashes inference latency while maintaining competitive performance, making AR-Normalizing Flows practical for real-world robotic manipulation.
LabDex reveals how a structured approach to task taxonomy can enhance the training and evaluation of robots in complex laboratory settings.
ThinkAfford achieves a remarkable 10.69% AP50 by decoupling affordance proposal generation from instruction grounding, setting a new standard for 3D grounding in cluttered environments.
ReTouch achieves a remarkable 18.4% improvement in success rates for dexterous manipulation by continuously refining tactile predictions in real-time.
Single-view RGB input can revolutionize how robots perceive and manipulate transparent objects, achieving reliable grasping without complex depth sensing.
Recovering static 3D scenes from monocular video with dynamic objects gets a boost: GA-GS leverages diffusion models to inpaint occluded regions, outperforming existing methods, especially in scenarios with large-scale occlusions.
Imagine AI scientists that not only reason but also autonomously conduct experiments in the real world – that's the promise of Intelligent Science Laboratories.
