Fall 2018
Spring 2021
Spring 2020
Fall 2019
Summer 2019
Winter 2019
Fall 2018
Winter 2018

Stanford Intelligent and Interactive Autonomous Systems Group (ILIAD) develops algorithms for AI agents that safely and reliably interact with people. Our mission is to develop theoretical foundations for human-robot and human-AI interaction. Our group is focused on: 1) formalizing interaction and developing new learning and control algorithms for interactive systems inspired by tools and techniques from game theory, cognitive science, optimization, and representation learning, and 2) developing practical robotics algorithms that enable robots to safely and seamlessly coordinate, collaborate, compete, or influence humans.

Recent News

Check out our YouTube channel for latest talks and supplementary videos for our publications.
Sep 13, 2021: Our paper titled "LILA: Language-Informed Latent Actions" got accepted to the 5th Conference on Robot Learning (CoRL)!
Sep 13, 2021: Our paper titled "Learning Multimodal Rewards from Rankings" got accepted to the 5th Conference on Robot Learning (CoRL)!
Sep 13, 2021: Our paper titled "Learning Reward Functions from Scale Feedback" got accepted to the 5th Conference on Robot Learning (CoRL)!
Sep 13, 2021: Our paper titled "Influencing Towards Stable Multi-Agent Interactions" got accepted to the 5th Conference on Robot Learning (CoRL)!
Sep 13, 2021: Our paper titled "Learning Feasibility to Imitate Demonstrators with Different Dynamics" got accepted to the 5th Conference on Robot Learning (CoRL)!
See All

Recent Talk

Dorsa's keynote talk at the 4th Conference on Robot Learning (CoRL) on "Walking the Boundary of Learning and Interaction"