home Anil Madhavapeddy, Professor of Planetary Computing  

Preprint on Terracorder sensing now available

Our preprint on the Terracorder ground sensing platform I've been working with Josh Millar at Imperial on is now available on arXiv. It's a heady combination of ESP32 very low power hardware, combined with Q-learning to build cooperative networks of them that can run for long periods of time without wasting energy on redundant operations.

# 1st Aug 2024   iconpapers ai biodiversity esp32 preprint qlearning sensing terracorder