Max Robotics — Global Service Robot Directory + US Certification

About

Sharon Lee is a rising star in embodied AI and brain-robot interfaces, pushing the boundaries of how humans interact with intelligent machines. Her research centers on three key areas: neural signal decoding for robot control, sample-efficient robot learning, and large-scale human-centered benchmarks. Lee’s most notable contribution is NOIR (Neural Signal Operated Intelligent Robots), a groundbreaking system that enables humans to command robots to perform everyday tasks using only brain signals—a paradigm shift in assistive robotics that has already garnered significant attention. She also developed SEED, a framework that combines primitive skills with human evaluative feedback to overcome the sample inefficiency and safety challenges of real-world reinforcement learning. Perhaps her most ambitious work is BEHAVIOR-1K, a comprehensive benchmark of 1,000 everyday activities grounded in a large-scale human survey, designed to drive progress in human-centered robotics. With over 20 citations across her top papers in just two years, Lee’s work is rapidly shaping the future of intuitive, safe, and practical robotic assistants.