Max Robotics — Global Service Robot Directory + US Certification

About

Emilio Parisotto is a leading researcher at the intersection of artificial intelligence and robotics, whose work is pioneering the development of generalist agents capable of operating across diverse tasks and physical embodiments. His most significant contribution is the creation of **Gato**, a single "generalist policy" that can play Atari games, caption images, chat, and control a real robot arm using the same neural network weights—a landmark achievement in AI that has garnered 66 citations. Parisotto’s research focuses on scaling up models for physical action, much like large language models have scaled for text. He has advanced techniques for **learning reusable robot movement skills** by imitating human and animal motion capture data, enabling legged robots to acquire complex locomotion behaviors. His work on **RoboCat** (2023) introduced a self-improving agent that can rapidly adapt to new robots and tasks, while his **Gemini Robotics** (2025) research bridges large multimodal models with physical embodiment. Parisotto also developed efficient transformer architectures for reinforcement learning under real-world computational constraints. His contributions are shaping a future where a single AI system can fluidly operate in both digital and physical worlds, marking him as a key figure in the quest for embodied general intelligence.