Max Robotics — Global Service Robot Directory + US Certification

About

Krista Reymann is a leading researcher at the intersection of robotics, computer vision, and embodied AI, whose work is fundamentally reshaping how robots perceive, learn, and interact with the physical world. She is perhaps best known for spearheading the creation of **Google Scanned Objects**, a high-quality, open-source dataset of over 1,000 photorealistic 3D household items. This resource, which has garnered over 315 citations, has become a cornerstone for training robots in simulated environments, dramatically accelerating progress in deep learning for manipulation tasks. Reymann’s impact extends to the frontier of vision-language-action models; her work on **RT-2** (267 citations) demonstrated how web-scale knowledge can be directly transferred to robotic control, enabling emergent semantic reasoning and unprecedented generalization. In a stunning display of real-world performance, she led the development of the first learned robot agent to achieve **amateur human-level performance in competitive table tennis**, a landmark achievement in high-speed, dynamic control. Most recently, her contributions to the **Gemini Robotics** family of models are pioneering the translation of large multimodal AI into physical agents, bringing us closer to a future where generalist robots operate seamlessly in our homes and workplaces.