Nan Xue

LingBot-VA 2.0 achieves few-shot generalization in complex robot manipulation tasks, outperforming traditional video generative models.

LingBot-Video bridges the gap between digital creativity and physical actuation, achieving unprecedented efficiency in video pretraining for embodied intelligence.

LingBot-VLA 2.0 showcases a remarkable leap in robotic manipulation, achieving strong cross-embodiment performance with enhanced predictive capabilities.

Boundary-centric pretraining can dramatically enhance depth estimation, a critical capability for embodied AI systems.

Tactile learning can now leverage a novel dataset and alignment method to dramatically enhance vision-tactile representation, outperforming traditional approaches.

AetheRock not only streamlines data collection for robot learning but also pairs it with a novel framework that enhances tactile learning in the face of sensor inconsistencies.

Real-time 3D scene reconstruction from streaming video is now possible with a feed-forward transformer that outperforms traditional SLAM methods.