2024
Collision-Free Trajectory Optimization in Cluttered Environments Using Sums-of-Squares Programming
RA-L 2024
In this work, we propose a trajectory optimization approach for robot navigation in cluttered 3D environments. We represent the robot's geometry as a semialgebraic set defined by polynomial inequalities such that robots with general shapes can be suitably characterized. We exploit the collision-free