Michael Everett

Michael Everett is an Assistant Professor at Northeastern University with a joint appointment in the Department of Electrical & Computer Engineering and the Khoury College of Computer Sciences. He directs the Autonomy & Intelligence Laboratory, focusing on certifiable learning machines at the intersection of robotics, deep learning, and control theory. His research emphasizes safety, reliability, and efficiency in robotics applications like off-road navigation and social environments.

Education:

• PhD in Mechanical Engineering, Massachusetts Institute of Technology (2020)
• SM in Mechanical Engineering, MIT (2017)
• SB in Mechanical Engineering, MIT (2015)

Research Interests:

• Robotics and motion planning
• Control theory and neural network verification
• Reinforcement learning applications
• Certifiable safety guarantees for autonomous systems
• Navigation in dynamic/human environments

Awards:

• Runner-Up: Best Paper Award (ICML 2022)
• Winner: Best Student Paper (IROS 2017/2023)
• Editors’ Top 5 Published Articles (IEEE Access 2021)

Lab & Contributions: The Autonomy & Intelligence Lab develops algorithms for high-speed off-road autonomy, socially aware navigation, and neural feedback verification. His work includes the RAMP planning pipeline and Evora traversability learning framework. He collaborates with Google’s PAIR team on trustworthy AI.