2 papers
cs.RO2025
Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning
Gilhyun Ryou, Geoffrey Wang, Sertac Karaman
High-speed online trajectory planning for UAVs poses a significant challenge due to the need for precise modeling of complex dynamics while also being constrained by computational…
cs.RO2025
Real-Time Sampling-based Online Planning for Drone Interception
Gilhyun Ryou, Lukas Lao Beyer, Sertac Karaman
This paper studies high-speed online planning in dynamic environments. The problem requires finding time-optimal trajectories that conform to system dynamics, meeting computational…