Max Robotics — Global Service Robot Directory + US Certification

About

Andrew R. Badger is a leading researcher at the intersection of robotics, artificial intelligence, and assistive technology, whose work is fundamentally reshaping how humans and machines collaborate. His primary research areas include brain-machine interfaces (BMI), shared control for robotic limbs, and human-robot teaming. Badger’s most impactful contribution is his pioneering work on restoring bimanual coordination for individuals with sensorimotor deficits. His highly cited 2022 paper, "Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding" (59 citations), demonstrates a novel approach to enabling complex, fine-motor tasks like self-feeding—a critical step toward restoring independence. Beyond assistive robotics, Badger is advancing the foundations of human-robot teaming. His research on adaptive teaming integrates symbolic and subsymbolic AI, while his recent "ConceptAgent" framework (2025) leverages Large Language Models for robust task planning in open-world environments. He also explores multi-agent coordination and scene understanding using foundation models, ensuring robots can interpret their surroundings and communicate naturally with human partners. Through these contributions, Badger is building a future where robots are not just tools, but trusted, intuitive teammates.