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 ...

We propose a modular Deep Convolutional Neural Network (DCNN) architecture which has the property of block-like design and re-usage of parameters by certain blocks. We leverage networks from the ...