Max Robotics — Global Service Robot Directory + US Certification

About

Sherry Moore is a leading researcher at the intersection of large-scale machine learning infrastructure and high-speed robotic learning. They are best known as a core contributor to TensorFlow, the seminal open-source framework for expressing and executing machine learning algorithms across heterogeneous systems—from mobile devices to massive clusters. This foundational work, published in 2016, has amassed over 9,700 citations, underscoring its transformative impact on the field of deep learning and enabling countless research and production systems worldwide. More recently, Moore has pioneered a new frontier in agile robotics, focusing on the extreme demands of robotic table tennis. Their work presents a deep-dive into a high-speed learning system capable of hundreds of rallies with a human, and they achieved a historic milestone with the first learned robot agent to reach amateur human-level performance in competitive table tennis—a physically demanding sport requiring years of human mastery. This breakthrough, detailed in papers from 2023 to 2025, demonstrates a complete, optimized pipeline from perception to control, setting a new benchmark for real-world robotic dexterity and learning.