Max Robotics — Global Service Robot Directory + US Certification

About

Trinity Chung is a leading researcher at the intersection of cloud robotics and large-scale robot learning, whose work is fundamentally reshaping how robots are trained and deployed in the real world. Her most impactful contribution is the co-creation of **DROID**, a landmark dataset comprising 350 hours of in-the-wild robot manipulation data across 564 scenes and 86 tasks. With over 108 citations since its 2024 release, DROID has become a critical resource for training generalist robot policies, enabling more robust and capable manipulation in unstructured environments. Complementing this, Chung has pioneered the **FogROS2** ecosystem, a suite of open-source toolkits that democratize cloud robotics. **FogROS2-Config** (2024) helps roboticists navigate over 50,000 cloud server configurations to make cost-effective compute decisions, while **FogROS2-FT** introduces fault tolerance for reliable cloud-robot connectivity. By addressing both the data and infrastructure bottlenecks in robotics, Chung’s work bridges the gap between academic research and practical deployment. Her contributions are essential reading for anyone building scalable, data-driven robot systems.