Max Robotics — Global Service Robot Directory + US Certification

About

Guowei Cui is a roboticist whose research bridges perception, manipulation, and autonomy for real-world service robots. His work centers on three key areas: sensor calibration, compliant manipulation, and semantic task planning. Cui’s most impactful contribution is his 2018 paper on RGB-D camera calibration, which uses Gaussian Processes to correct depth errors—a foundational method that has garnered 40 citations and enabled more accurate 3D perception for robots navigating and interacting with their environments. He has also advanced the practical deployment of cleaning robots by developing performance metrics using motion capture systems (19 citations). In the domain of manipulation, Cui tackles the notoriously difficult problem of robotic 3D bin packing, introducing a compliant-based approach that handles unavoidable real-world uncertainties (11 citations). His work on semantic task planning (11 citations) empowers service robots to reason about incomplete information and dynamic changes, moving beyond rigid, pre-programmed behaviors. Most recently, Cui has proposed a sample-based, passively compliant manipulation strategy for contact-rich tasks, achieving robust performance without relying on force sensors. With a growing citation record and a focus on making robots more adaptive and reliable, Guowei Cui is a rising voice in practical, uncertainty-aware robotics.