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- 24 JunMSc3 InfoMatters Design Studio P2 Review on the 24th June 2011
- 22 JunMSc1 InfoMatters Design Studio Final Reviews
- 21 JunPaper presentation “Collaborative Design Of Parametric Sustainable Architecture” by Hans Hubers at MISBE2011 conference
- 20 JunMSc2 deepFORMATIONS Design Studio final review & prototypes exhibition
- 12 JunHyperbody work featured in the book "The New Mathematics of Architecture" by Mark Burry and Jane Burry
- 11 JunPAN Architects & Hyperbody work illustrated in Zeppelin Magazine (projects featured on the cover)
- 10 Junlecture "Collaborative Parametric Architectural Design" by Hans Hubers at EuropIA Conference
- 10 Junlecture "Programmable Sustainable Architecture" by Kas Oosterhuis at the ENERGYCITY Conference in Graz
- 28 MayAn interview with Tomasz Jaskiewicz by dr. Lasse Gerrits
- 27 MayChristian Friedrich co-tutors Sens[e-Res]ponsive Architecture Workshop in Chania
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A.Liu Cheng, H. Bier, G. Latorre, B. Kemper and D. Fischer publish a paper on A High-Resolution Intelligence Implementation based on Design-to-Robotic-Production and -Operation strategies in the 34th International Symposium on Automation and Robotics in Construction (ISARC 2017) (June 28 - July 1, 2017).
ABSTRACT: This paper presents an initial proof-of-concept implementation of a comprehensively intelligent built-environment based on mutually informing Design-to-Robotic-Production and -Operation (D2RP&O) strategies and methods developed at Delft University of Technology (TUD). In this implementation, D2RP is expressed via deliberately differentiated and function-specialized components, while D2RO expressions subsume an extended Ambient Intelligence (AmI) enabled by a Cyber-Physical System (CPS). This CPS, in turn, is built on a heterogeneous, scalable, self-healing, and partially meshed Wireless Sensor and Actuator Network (WSAN) whose nodes may be clustered dynamically ad hoc to respond to varying computational needs. Two principal and innovative functionalities are demonstrated in this implementation: (1) cost-effective yet robust Human Activity Recognition (HAR) via Support Vector Machine (SVM) and k-Nearest Neighbor (k-NN) classification models, and (2) appropriate corresponding reactions that promote the occupant’s spatial experience and well-being via continuous regulation of illumination with respect to colors and intensities to correspond to engaged activities. The present implementation attempts to provide a fundamentally different approach to intelligent built-environments, and to promote a highly sophisticated alternative to existing intelligent solutions whose disconnection between architectural considerations and computational services limits their operational scope and impact.