In this talk, I develop a foundation for the co-optimization of sensing, communication and navigation in mobile networks.  I consider the scenario where information is generated in the environment with a certain spatio-temporal dynamics.  A number of unmanned autonomous vehicles are then tasked with collecting the information from the environment and transmitting it to a remote station.  We are interested in the communication-aware path planning and sensing of the mobile nodes, where communication objectives are properly integrated with the navigation goals of the robots.  We show how to co-design the optimum trajectory, velocity, transmission power, and transmission rates of the robots.  We further mathematically characterize key properties of the optimum solution.