AI RESEARCH

Nano-U: Efficient Terrain Segmentation for Tiny Robot Navigation

arXiv CS.CV

ArXi:2605.10210v1 Announce Type: cross Terrain segmentation is a fundamental capability for autonomous mobile robots operating in unstructured outdoor environments. However, state-of-the-art models are incompatible with the memory and compute constraints typical of microcontrollers, limiting scalable deployment in small robotics platforms. To address this gap, we develop a complete framework for robust binary terrain segmentation on a low-cost microcontroller. At the core of our approach we design Nano-U, a highly compact binary segmentation network with a few thousand parameters.