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