Pete is a seasoned leader in the development of complex, autonomy-enabled systems, as well as the organizations that build those systems. Passionate to see robotics technology change the world, Pete has consistently pursued opportunities to help make that change happen, from working on a number of commercialization projects at the Robotics Institute of Carnegie Mellon University National Robotics Engineering Center, to being part of the formative team that launched Uber’s self-driving car efforts. His core robotics work spans computer vision, perception, path planning and control, and simulation-based robotic system development and testing. He has also led numerous human-centric robotic interface programs that leverage underlying autonomy technologies to aid human operators at multiple levels of interaction. Pete holds a master’s degree (1993) and a Ph.D. (1998) in electrical and computer engineering from Carnegie Mellon University, and a bachelor’s degree (1991) in electrical engineering from University of Detroit-Mercy.