Max Robotics — Global Service Robot Directory + US Certification

About

Arjun Guha is a leading researcher at the intersection of robotics, programming languages, and artificial intelligence, with a focus on making service mobile robots more accessible and adaptable. His work centers on using large language models (LLMs) to generate robot programs from natural language, as demonstrated in his highly cited 2024 paper (31 citations), which explores how LLMs can leverage mobility, perception, and human interaction to program service robots. Guha has also pioneered model-based adaptation for robotics software (2019, 25 citations), developing automated techniques that allow robot systems to adjust to environmental changes without manual intervention. His contributions extend to end-user programmability, where he has created methods for automatic failure recovery and iterative program synthesis for social navigation, enabling non-experts to program complex robot behaviors. Guha’s research is notable for bridging the gap between high-performance robotics and usability, making state-of-the-art robots safer and easier to use for introductory computing students. With over 70 total citations, his work is shaping the future of human-robot interaction and autonomous systems.