Search papers, labs, and topics across Lattice.
5
0
4
5
RynnBrain 1.1 not only outperforms all competitors in embodied cognition tasks but also redefines how robots can be trained for complex manipulation through innovative 3D grounding techniques.
Policies trained on RynnWorld-Teleop's synthetic data achieve zero-shot transfer to real-world tasks, revolutionizing how we collect and utilize robotic training data.
RynnWorld-4D transforms robotic manipulation by co-producing future scene dynamics from a single RGB-D image, leading to unprecedented performance in dexterous tasks.
Reconstructing articulated 3D objects from casual monocular videos is now possible with Articulat3D, which enforces geometric and motion constraints for geometrically accurate and temporally coherent digital twins.
RynnBrain leapfrogs existing embodied foundation models, offering a unified, open-source spatiotemporal model that excels at physically grounded reasoning and planning across a wide range of benchmarks.
