Learning

This project uses vision-language models to give aerial robots onboard semantic safety awareness. Our first paper on this topic was accepted at two IROS 2026 workshops.

This project teaches quadrotors agile flight in cluttered and visually degraded environments directly from pixels, using differentiable simulators and novel sensors.

This project learns contraction metrics for robust control of hybrid aerial robots with suspended payloads.