Stanford-ILIAD/odyssey
A journey through robotic infrastructure; the ILIAD lab's stack for robotic demonstration collection, policy training, perception, and natural language.
Odyssey provides a robust framework for researchers and engineers working with physical robots. It helps you collect real-world demonstrations of robot tasks, train policies, and process perception and natural language data. It takes in raw robot sensor data, human demonstrations, and natural language instructions, and outputs trained robot behaviors and enhanced perception models. Robotics researchers and engineers will find this useful for developing advanced robotic systems.
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Use this if you are a robotics researcher or engineer building sophisticated real-world robotic systems and need a structured way to handle data collection, policy training, and integrate perception and natural language.
Not ideal if you are looking for a pre-packaged, ready-to-deploy robot application for a specific task rather than a foundational development stack.
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Language
Python
License
GPL-3.0
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Last pushed
Aug 03, 2022
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