Max Robotics — Global Service Robot Directory + US Certification

About

Grace Vesom is a leading roboticist whose work sits at the exciting intersection of high-speed perception, real-time control, and embodied AI. She is best known for her pioneering contributions to dexterous, dynamic manipulation, with her research on robotic table tennis serving as a landmark case study in achieving human-level performance on a physically demanding real-world task. Vesom led the development of the first learned robot agent to reach amateur human-level performance in competitive table tennis, a system capable of hundreds of rallies with a human and precise ball placement—a feat that required integrating a highly optimized perception subsystem with a robust learning framework. Her work, including the widely cited "Robotic Table Tennis: A Case Study into a High Speed Learning System" (17 citations), has become a benchmark for the field. More recently, Vesom has been at the forefront of translating large multimodal models into physical agents, as detailed in her influential report "Gemini Robotics: Bringing AI into the Physical World." Her research provides a compelling blueprint for how robots can achieve the speed, agility, and adaptability needed to operate alongside humans in the real world.