Search papers, labs, and topics across Lattice.
Tongji University, Midea Group
3
0
3
DSWAM bridges the gap between coarse user commands and fine-grained robot actions, outperforming traditional models in real-world task execution.
Injecting 4D geometric priors into World Action Models boosts robotic manipulation performance without adding inference overhead.
PiL-World slashes the gap between simulated and real-world VLA success rates by over 50%, revolutionizing how we evaluate robotic policies.
