Alexander Liu Cheng
Delft University of Technology, Technical University of Munich
Papers
8
Total Citations
89
H-Index
6
About
Alexander Liu Cheng is a multidisciplinary researcher whose work sits at the dynamic intersection of robotics, intelligent built environments, and human-centered computing. Best known for his pioneering contributions to **Design-to-Robotic-Production and -Operation (D2RP&O)** — a framework developed at Delft University of Technology — Cheng has consistently pushed the boundaries of what buildings can do, envisioning architectural spaces that are not merely constructed by robots, but that *behave* robotically through embedded sensor-actuator systems and adaptive intelligence. His most cited work (29 citations) establishes the conceptual and technical foundation for "Robotic Building," a paradigm in which physical environments actively respond to their users. Complementing this, his research on fall detection systems (24 citations) demonstrates a strong commitment to assistive technology and independent living for vulnerable populations. Cheng has further advanced intelligent environments through deep learning and facial recognition for actuation control, as well as the design of robotic grippers for safer scaffolding assembly — directly addressing construction industry hazards. With work spanning TensorFlow implementations, wireless sensor networks, and high-resolution ambient intelligence, his career reflects a rare synthesis of architectural thinking, robotics engineering, and applied artificial intelligence that continues to shape the future of smart construction.
Research Focus
Key Achievements
Top Papers
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