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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 interactive robots working with people in uncertain, and safety-critical environments.

Recent News

Mar 19, 2020: We posted our new blogpost on "When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans".
Mar 6, 2020: We are organizing a workshop on "Emergent Behaviors in Human-Robot Systems" at RSS 2020! Check it out here for more details and the call for posters.
Feb 27, 2020: Check Dorsa"s talk at IPAM Intersections between Control, Learning and Optimization workshop on February 27 here!
Feb 13, 2020: Dorsa is giving NAE Gilbreth Lecture on February 13.
Jan 22, 2020: Our paper titled "Controlling Assistive Robots with Learned Latent Actions" got accepted at ICRA 2020!
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