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.
|Jan 27, 2019:||Our paper titled "Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models" got accepted at ACC 2019!|
|Jan 27, 2019:||Our papers titled "Deep Local Trajectory Replanning and Control for Robot Navigation" and "Hierarchical Game-Theoretic Planning for Autonomous Vehicles" got accepted at ICRA 2019!|
|Jan 27, 2019:||Our paper titled "Object Exchangability in Reinforcement Learning" got accepted at AAMAS 2019!|
|Jan 16, 2019:||Dorsa will be giving a talk at 3rd Annual TRI Joint University Workshop on "Interaction-Aware Control for Cars that Anticipate and Explain Complex Environments"! Erdem will have a poster presentation at the same event on "Batch-Active Preference-Based Learning of Reward Functions"!|
|Dec 1, 2018:||Daniel will be giving an oral presentation at CDC 2018 on "Maximizing Road Capacity Using Cars that Influence People"!|