Civil and Environmental Engineering
PATH Networking Lab
University of California, Berkeley
Multi-Vehicle Networks The marriage of wireless ad-hoc communication and embedded computing is enabling new frontiers in robotic vehicles. We will show how sensing, communication, and control technologies are combining to realize unmanned air vehicle networks and collaborating cars. Our UAV's use Wi-fi to autonomously divide sensing tasks amongst themselves. Our cars communicate to track each other and provide sub-second warning to their drivers to enhance the safety of road travel. I discuss how these new multi-vehicle networks call for new theoretical developments and synergies between control, information theory, and embedded computing, and present some mathematical results.