Tiny Robot Learning: Expanding Access to Edge ML as a Step Toward Accessible Robotics

Tiny Robot Learning: Expanding Access to Edge ML as a Step Toward Accessible Robotics

Abstract

The high barriers to entry associated with robotics, in particular its high cost, has rendered it inaccessibility for many. In this poster we present our early efforts to begin to address these challenges through edge machine learning (ML). We show how ultra-low-cost robot and computational hardware paired with open-source software and courseware can be leveraged for hands-on education globally and the beginnings of a globally diverse research community.