Learning Systems & Robotics Lab (Angela Schoellig)

LSY @ ICRA 2026

The lab announced seven peer‑reviewed papers at ICRA 2026, spanning manipulation, crowd navigation, safety‑filtered diffusion policies, predictive model‑predictive control, large‑language‑model‑driven swarm planning, sensor scheduling, and cooperative MAV navigation. The work showcases novel algorithms that blend diffusion models with robotics, integrate human intent prediction, and leverage LLM reasoning for multi‑agent coordination. Publication venues include arXiv, IEEE LRA, and IEEE Xplore, indicating both open‑science and high‑impact journal exposure. Collectively, these contributions push the frontier of autonomous systems toward safer, more adaptable, and collaborative operation.