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- 02 JulRobotically-driven Building initiated by Dr.-Ing. Henriette Bier has received funding from 3TU.Bouw and will be implemented in collaboration with CITG-TUD, TUE, ONL and Mebin
- 02 JulAchilleas Psyllidis is presenting at the 10th IEEE International Conference on Intelligent Environments (IE'14)
- 27 JunFinal presentation: MSc2 Inter-performing environments Design studio
- 12 JunAchilleas Psyllidis is guest lecturer at Second Nature summer school
- 03 JunLecture – Urban Informatics: Promises and Potentials by Achilleas Psyllidis
- 28 MayLecture: Architecture of Change by Branko Kolarevic in protoSPACE
- 28 MayInter-performing environments: update on Hyperbody MSc2 prototypes for the EU culture program Metabody
- 19 MayDr. Nimish Biloria appointed as Doctoral defence committee member at Ècole nationale supèrieure d'architecture Paris-Malaquais
- 14 MayDr. Nimish Biloria appointed as Scientific Committee member at the ICONARCH II, Innovative approaches in Architecture and Planning, Konya, Turkey
- 29 AprAchilleas Psyllidis's paper is accepted for the 10th IEEE International Conference on Intelligent Environments (IE'14)
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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.