design, development, and implementation of an open and ......robotic production and operation...
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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 3rd 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