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- 16 JulKas Oosterhuis will lecture at Canadian Centre for Architecture [CCA] in Montreal, Canada
- 08 JulKas Oosterhuis will lecture at ALIVE 2013 event at the ETH Zurich (copy 1)
- 27 AprKas Oosterhuis speaker at Building Dynamics Symposium in Calgary
- 22 AprDr. -Ing. Henriette Bier lectures at the Ethiopian institute of Architecture, Building Construction and City Development
- 05 MarAlireza Mahdizadeh and Dr. Nimish Biloria publish in the International Journal of Virtual and Personal Learning Environments
- 22 Feb Hyperbody. First Decade of Interactive Architecture in The Best Dutch Book Designs 2012
- 01 FebThesis defence: "Towards a methodology for complex adaptive interactive architecture"
- 21 NovRob|Arch 2012 - Conference Robot Workshop Rotterdam @ Hyperbody’s robotics lab
- 19 NovArticle "Interactive morphologies" by Nimish Biloria published in Frontiers of Architectural Research
- 19 NovJournal article "Simply complex, toward a new kind of building" by Kas Oosterhuis in FOAR
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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.