2 papers
cs.RO2026
Asset-Centric Metric-Semantic Maps of Indoor Environments
Christopher D. Hsu, Pratik Chaudhari
Large Language Models (LLMs) can help robots reason about abstract task specifications. This requires augmenting classical representations of the environment used by robots, such a…
cs.MA2025
Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments
Christopher D. Hsu, Pratik Chaudhari
We study pursuit-evasion games in highly occluded urban environments, e.g. tall buildings in a city, where a scout (quadrotor) tracks multiple dynamic targets on the ground. We sho…