Max Robotics — Global Service Robot Directory + US Certification

About

Gabrael Levine is pioneering the intersection of robotics and neural interfaces to make everyday assistance a reality. Their key research areas span embodied AI, human-robot interaction, and brain-computer interfaces, with a focus on translating human intent into robotic action. Levine’s landmark work, "NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities" (2023, 8 citations), introduces a general-purpose brain-robot interface that allows users to command robots using neural signals alone—enabling tasks like cooking or cleaning through thought. This breakthrough demonstrates a tangible path toward assistive robotics for individuals with motor impairments. Complementing this, Levine co-developed "BEHAVIOR-1K" (2024, 6 citations), a benchmark of 1,000 everyday activities grounded in real-world surveys, providing a standardized testbed for human-centered robotics research. This work has already shaped how the field evaluates robotic competence in domestic settings. By bridging neural decoding with practical robot control, Levine is redefining what it means for machines to serve human needs, earning recognition as a rising leader in assistive embodied AI.