Our mission is to design intelligent systems (e.g., robots) that work alongside human teams in real-world, safety-critical environments (i.e., healthcare). Our research lies at the intersection of robotics, computer vision, and artificial intelligence. Through community engagement and human-centered design, we develop systems that improve teamwork and collaboration between multiple users with multi-robot systems, robot vision, AI, and AR/VR.
Start here for Lab Information: Lab Resources
Forked from HumanCompatibleAI/overcooked_ai
A benchmark environment for fully cooperative human-AI performance.
Jupyter Notebook
This repo is for the AR Healthcare design study that is taking place with the Cornell Tech AIRLab.
ShaderLab
ROS2 workspace for the crash cart robot's communication GUIs
Shell
RFM-HRI : A Multimodal Dataset of Medical Robot Failure, User Reaction and Recovery Preferences for Item Retrieval Tasks
This repo is for the AR Healthcare design study that is taking place with the Cornell Tech AIRLab.
Front end tools for designing robot faces, setting up custom robot APIs, and controlling a robot (WoZ)
A benchmark environment for fully cooperative human-AI performance.
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