Tiny Robots
Tiny Robots
Project Overview
Many emerging robotics use cases will require small, cheap robots that use embedded devices for computation. When compressing robotics algorithms to fit on these resource constrained computational devices, new challenges and opportunities emerge. We are working to unlock the full potential of these tiny robots by leverging insights from robotics, machine learning, and computer architecture / embedded systems to custom tailor algorithmic solutions through hardware-software co-design.
Publications
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(2023). Tiny Robot Learning: Expanding Access to Edge ML as a Step Toward Accessible Robotics. In Workshop on Lowering Barriers for Robotics Research at RSS 2023.
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(2022). Closing the Sim-to-Real Gap for Ultra-Low-Cost, Resource-Constrained, Quadruped Robot Platforms. In Workshop on Closing the Sim2Real Gap at RSS 2022.
