Brian C. Williams

Professor Brian C. Williams is a leading academic at the Massachusetts Institute of Technology (MIT), holding the position of Professor of Aeronautics and Astronautics and directing the Autonomous Systems Laboratory (ASL). He is also a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Space Systems Laboratory (SSL). His work focuses on advancing model-based autonomy, enabling robots to operate independently in extreme environments such as space, underwater, and urban traffic. His contact details include email williams@csail.mit.edu and phone 253-2739.

• Education: S.B., S.M., and Ph.D. in Computer Science and Electrical Engineering from MIT (1989).

Williams' research spans risk-bounded decision making, collaborative robotics, and neural-symbolic learning. He has pioneered systems like Remote Agent, which demonstrated autonomous self-repair in NASA's Deep Space One mission, and Geordi, a risk-aware driver assistant. His work integrates symbolic reasoning, probabilistic methods, and machine learning to create resilient robotic systems for space exploration, manufacturing, and transportation.

The most recent publications highlight trends in risk-aware planning, multi-agent robotics, and stochastic control. Key innovations include tube-based trajectory optimization, conflict-directed task allocation, and theory-of-mind guided interventions, reflecting his focus on robustness in uncertain environments.

• Scientific Awards: NASA Space Act Award (1999), AAAI Fellow, and multiple best paper awards from AAAI, IJCAI, ICAPS, CDC, HRI, and ECAI.

Williams leads the Model-Based Embedded and Robotics Systems Group at CSAIL, collaborating with institutions like NASA's Jet Propulsion Laboratory. His projects include ASIST (Artificial Social Intelligence for Teams), RADMAX (Risk and Deadline Aware Planning), and Uhura (risk-aware personal assistants), addressing challenges in health care, manufacturing, and defense applications.