SAIR Lab
Visit ToolSAIR Lab is a research and education tool that advances mobile robots toward human-level autonomy. It develops algorithms and systems for perception, spatial reasoning, and decision-making.
At a glance
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SAIR Lab is a research and education tool that advances mobile robots toward human-level autonomy. It develops algorithms and systems for perception, spatial reasoning, and decision-making.
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About
SAIR Lab, part of the Computer Science and Engineering department at the University at Buffalo, is dedicated to advancing mobile robots toward human-level autonomy. The lab focuses on developing algorithms and systems that enable robots to efficiently and robustly perceive and interpret various sensory inputs, integrate neural and symbolic memory representations for spatial common sense, and reason, plan, and act in real time within dynamic environments. A core principle is imperative learning (IL), a neuro-symbolic framework promoting data-efficient learning through structured reasoning. SAIR Lab also leads the development of PyPose, an open-source library for differentiable robotics on manifolds, which has seen significant downloads.
Capabilities
Pricing & Plans
Likely Free
Not publicly disclosed. Check sairlab.org for current pricing.
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