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.
|Jun 7, 2019:||Check Dorsa"s talk on "Influencing Interactive Mixed-Autonomy Systems" at Learning for Dynamics and Control (L4DC) on Youtube.|
|Jun 7, 2019:||Dorsa will be giving a talk at the ICML Workshop on AI for Autonomous Driving on June 15.|
|Jun 7, 2019:||Tianhe will be presenting a poster on "Unsupervised Visuomotor Control through Distributional Planning Networks" at ICML Workshop on Self-Supervised Learning and at ICML Workshop on Imitation, Intent, and Interaction (I3).|
|Jun 7, 2019:||Minae will be giving a talk on "Continual Adaptation for Efficient Machine Communication" at ICML Workshop on Adaptive & Multitask Learning: Algorithms & Systems on June 15.|
|May 31, 2019:||Minae and Mengxi won the Qualcomm Innovation Fellowship 2019 of North America!|