  We show a new method for collision-free path planning by cGANs by mapping its
latent space to only the collision-free areas of the robot joint space. Our
method simply provides this collision-free latent space after which any
planner, using any optimization conditions, can be used to generate the most
suitable paths on the fly. We successfully verified this method with a
simulated two-link robot arm.
