Chance-Constrained Trajectory Optimization for UAVs with Randomly Moving Obstacles
This paper proposes a chance-constrained trajectory optimization model for UAVs to safely avoid randomly moving obstacles. By applying the sample average approximation method, the problem is reformulated as a mixed-integer linear program, and simulations show robust, collision-free paths.
Sep 29, 2025
