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

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: a.liucheng@tudelft.nl

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