Search papers, labs, and topics across Lattice.
3
0
5
17
LLMs can navigate more efficiently in unfamiliar environments by reasoning over a tree of possible paths, not just isolated waypoints, enabling them to consider en-route information gain and prune unpromising branches.
Forget pre-built maps: this new navigation agent interprets signs like a human, achieving 80% success in complex indoor environments.
Exploiting symmetry in tensegrity robot design slashes training data needs by 80% while boosting contact estimation accuracy by 15%, all with a simple graph neural network.
