Prof. Kochenderfer’s (Stanford University) talks on Automated Decision-Making for Safety-Critical Applications at TUM

VERANSTALTUNGEN | | KI- und Robotik-Talks

Building robust decision-making systems for autonomous systems is challenging. Decisions must be made based on imperfect information about the environment and with uncertainty about how the environment will evolve. In addition, these systems must carefully balance safety with other considerations, such as operational efficiency. Typically, the space of edge cases is vast, placing a large burden on human designers to anticipate problem scenarios and develop ways to resolve them. This talk discusses major challenges associated with ensuring computational tractability and establishing trust that our systems will behave correctly when deployed in the real world. We will outline some methodologies for addressing these challenges and point to some research applications that can serve as inspiration for building safer systems.

Automated Decision-Making for Safety-Critical Applications
Prof. Kochenderfer (Stanford University) | TUM-Robotics Talks | 20. December 2023, 13:00 – 14:00 CET

Location: N2409, Theresienstraße 90. See map

Meeting ID: 691 6629 8198
Passcode: lsy-talks

Prof. Mykel Kochenderfer

Mykel Kochenderfer is an Associate Professor of Aeronautics and Astronautics at Stanford University. He is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision-making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and automated driving where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. Prior to joining the faculty in 2013, he was at MIT Lincoln Laboratory, where he worked on aircraft collision avoidance, leading to the creation of the ACAS X international standard for manned and unmanned aircraft. He received his Ph.D. from the University of Edinburgh in 2006. He received B.S. and M.S. degrees in computer science from Stanford University in 2003. Prof. Kochenderfer is a co-director of the Center for AI Safety. He is an associate editor of the Journal of Artificial Intelligence Research and the Journal of Aerospace Information Systems. He is an author of the textbooks Decision Making under Uncertainty: Theory and Application (MIT Press, 2015), Algorithms for Optimization (MIT Press, 2019), and Algorithms for Decision Making (MIT Press, 2022).


TUM-Robotics Talks is an initiative of the Munich Institute of Robotics and Machine Intelligence (MIRMI) where international experts and pioneers in the field of Robotics and Machine Intelligence present their research.