Max Robotics — Global Service Robot Directory + US Certification

About

Peter David Fagan is a leading researcher in robot manipulation, with a focus on scaling real-world data collection to build more robust and generalizable robotic systems. His most cited work, the DROID dataset (2024), represents a landmark contribution to the field: a large-scale, in-the-wild robot manipulation dataset that addresses the critical bottleneck of data diversity and quality. With over 100 citations in under a year, DROID has already become a foundational resource for training manipulation policies that can operate outside controlled lab settings. Fagan’s work tackles the immense logistical challenges of collecting high-quality robot data across varied environments, enabling progress toward more capable and adaptable robots. His research sits at the intersection of robotics, computer vision, and machine learning, emphasizing the importance of real-world data for advancing embodied AI. By providing the community with an open, diverse dataset, Fagan is helping to democratize robot learning and accelerate the development of generalist manipulation policies. His contributions are shaping how researchers think about data-driven robotics, making him a key figure in the push toward robust, real-world robot autonomy.