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Our research goal is to achieve human-level spatial awareness and reasoning abilities on robotic systems.
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We are interested in all aspects of algorithm development, including
- Creating efficient algorithms,
- Proving their theoretical properties,
- Validating them on real-world robots, and
- Distributing them to open-source communities.
- SAIR Lab is leading PyPose, an open-source Python library for differentiable robotics.
- This GitHub organization provides source code for publications and teaching materials.
