Max Robotics — Global Service Robot Directory + US Certification

About

Yuanda Hu is a rising researcher at the intersection of human-robot interaction (HRI), end-user programming, and generative AI. His work centers on democratizing service robot programming by enabling everyday users—not just expert developers—to customize robot behaviors through natural language and intuitive interfaces. Hu’s major contributions include pioneering the use of large language models (LLMs) as the core engine for end-user robot programming, exemplified by his work on Cocobo (2024, 5 citations), which tackles the challenges of expression space and debugging in natural language programming. He further advanced human-robot communication with GenComUI (2025, 4 citations), a system that dynamically generates visual aids—like map annotations and path indicators—to enhance task-oriented dialogue. Hu also explores co-design methods using virtual reality (2023, 2 citations) and interactive learning for item ownership relationships (2023, 1 citation), addressing social norms in autonomous agents. Although his career is early-stage, his innovative integration of LLMs with robotics has already garnered attention, positioning him as a key voice in making service robots more accessible and intuitive for non-experts.