Stanford Intelligent and Interactive Autonomous Systems Group (ILIAD) develops algorithms for autonomous systems that safely and reliably interact with people. Using the tools from artificial intelligence, control theory, robotics, machine learning, and optimization, we develop practical algorithms and the theoretical foundations for autonomous systems operating in uncertain, and safety-critical environments.

Recent News

  • Oct 5, 2018: We have built our new web site!
  • Sep 5, 2018: Our paper titled "Altruistic Autonomy: Beating Congestion on Shared Roads" got accepted at WAFR 2018!
  • Sep 1, 2018: Our paper titled "Batch Active Preference-Based Learning of Reward Functions" got accepted at CoRL 2018!

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