Max Robotics — Global Service Robot Directory + US Certification

About

Ju Li is a versatile researcher whose work spans materials science, autonomous laboratory systems, robotics, and artificial intelligence-driven scientific discovery. Li's most influential contribution to date is in the domain of nuclear materials research, where a 2022 paper on machine learning applications has garnered 122 citations, establishing a foundation for data-driven approaches in a traditionally experimental field. Complementing this, Li contributed to the development of thermally drawn rechargeable battery fibers — a breakthrough enabling pervasive, wearable power systems — which has attracted 74 citations since its 2021 publication. A defining thread in Li's recent career is the democratization of autonomous laboratories. The CRESt system (Copilot for Real-world Experimental Scientist), introduced in 2023, leverages OpenAI's ChatGPT API to allow experimentalists to control automated lab workflows without requiring advanced programming expertise — a meaningful step toward accessible AI-assisted science. Li has also advanced multi-element electrocatalyst discovery through multimodal robotics platforms, reflecting a sustained interest in accelerating materials innovation. Earlier work in parallel and hybrid robot design and time-optimal path planning reveals the depth of Li's engineering foundations, making this researcher a compelling bridge between classical robotics, advanced materials, and the emerging frontier of AI-powered scientific automation.