Search papers, labs, and topics across Lattice.
University of Illinois Urbana-Champaign
4
0
8
LLMs struggle with adaptive planning, achieving only 67.75% accuracy when faced with progressively revealed world and user constraints.
LMMs can't MacGyver their way out of a paper bag: they struggle to creatively repurpose objects in visually complex environments, revealing a critical gap in grounded reasoning beyond pattern recognition.
Forget hand-crafted reward functions: this RL framework lets a bicycle robot learn complex stunts from just a spatial guideline and a few key poses.
A 48-camera system finally unlocks real-time, room-scale multi-human, multi-robot interaction research in realistic home environments.
