Presentations · 2026.02.25
Integrating Machine Learning and Control Theory for Safer Motion Planning
Integrating Machine Learning and Control Theory for Safer Motion Planning
Overview
Introduces MPC planning with neural terminal constraints and the observation-conditioned ORN-CBF safety filter. Shows architectures that adapt to local observations in unknown environments and summarizes simulation and physical experiments with mobile robots and a quadcopter.
Version: nxtAIM Open Project Day original research poster; one page