Alexander Davydov, assistant professor of mechanical engineering, received an Honorable Mention for the 2025 IEEE Robotics and Automation Letters (RA-L) Best Paper Award for his paper, “First, Learn What You Don’t Know: Active Information Gathering for Driving at the Limits of Handling.”
Selected as one of only five honorable mentions from more than 1,700 papers published in RA-L during 2025, the recognition highlights the paper’s significant contribution to robotics and automation. The award was presented in June at the 2026 IEEE International Conference on Robotics and Automation (ICRA) in Vienna, Austria.
Co-authored with collaborators from Toyota Research Institute, the paper explores how autonomous vehicles can better respond in unpredictable or extreme driving conditions. Rather than relying only on preprogrammed knowledge, the system gathers new information in real time about road conditions and vehicle behavior. By learning as conditions change, the vehicle can adjust more quickly, improving safety and control in difficult situations.
The work advances safer self-driving technologies and more intelligent robotic systems designed to operate in complex, fast-changing environments.