TU Delft, Faculty of Architecture and the Built Environment, [A+BE] Graduate School Design, development, and implementation of an open and decentralized Robotically Assisted/Augmented Living framework based on Design to Robotic Production and Operation principles Keywords: Design-to-Robotic-Fabrication, Design-to-Robotic-Operation, Ambient Intelligence, Cyber- Physical Systems, Adaptive Architecture, Wireless Sensor Network Architectural Engineering + Technology Department (Hyperbody) Area of Research: Computation & Performance Alexander Liu Cheng PhD started in: 2016 M.Sc. Advanced Construction and Building Technology— Automation, Robotics, Services Technische Universität München, Germany 2015 M.Arch. Architecture The University of British Columbia, Canada 2009 B.S. Computer Science New York Institute of Technology, USA 2005 Promoter(s): Prof. ir. Kas Oosterhuis Daily Supervisor(s): Dr.-Ing. Henriette H. Bier Research Summary: Present architectural design models limit the extent, scope, and character of technological intelligence in the built-environment. Such models exclude considerations of intelligence from the early stages of the design process, relegating expressions thereof to retrofitted and highly specialized independent devices that cannot meaningfully promote the overall experience and well-being of the users. My research develops an alternative model based on mutually informing Design to Robotics Production and Operation (D2RP&O) principles and methods, one expressly geared towards high- resolution intelligence in a self-adapting built-environment capable of intuitive physical, spatial, and computational feedback-loops via Cyber-Physical Systems (CPSs). Email: [email protected] Phone: +49 176 779 22642 Main Question: Can D2RP&O instantiate and sustain a context- aware and unified high-resolution intelligence in the adaptive built- environment? Research Methodology: First, a justifying framework and validation criteria are developed in order to produce a robust parametric system. Second, a series of progressively complex implementations are used to validate or to modify assumptions as well as to verify operability and performance. Third, fully functional real-scale proofs-of-concept are developed and tested with actual probands. The results of each step serve to validate or to modify the assumptions of the previous step in an optimizing process. Deliverables: (1) An initial fragmentary D2RP&O demonstration; functional 1:1 (2) single-person and (3) multi-person habitations based on D2RP&O principles / methods. Key Publications: • Liu Cheng, A. (2016). Towards embedding high-resolution intelligence into the built-environment. Archidoct, 4(1), 29–30. • Liu Cheng, A., & Bier, H. H. (2016). An Extended Ambient Intelligence Implementation for Enhanced Human-Space Interaction. In Proceedings of the 33rd International Symposium on Automation and Robotics in Construction and Mining (ISARC 2016). • Liu Cheng, A., & Bier, H. H. (in press). Adaptive Building-Skin Components as Context-Aware Nodes in an Extended Cyber-Physical Network. In Proceedings of the 3 rd IEEE World Forum on Internet of Things (WF-IoT 2016). Link(s) http://repository.tudelft.nl/islandora/se arch/author%3A%22Liu%255C%2BCh eng%252C%255C%2BA.%22?collectio n=research Updated: October 31, 2016