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- 24 MayProf. Kas Oosterhuis lectures at Polypodium (Beirut Design Week)
- 07 MayDr. Nimish Biloria to serve as a Panelist at the Trans-Arch-Edu-03, Izmir, Turkey
- 20 AprDr Nimish Biloria and PhD candidate Jia Rey Chang publish paper on Swarm Scapes in Springer's Lecture Notes in Computer Science
- 20 AprAlex Liu Cheng and Henriette Bier publish paper on An Extended Ambient Intelligence Implementation for Enhanced Human-Space Interaction
- 20 AprTextrinium exhibited at Center for European Textile Innovation (CETI)
- 18 AprDr. Nimish Biloria appointed as the Scientific Committee member for the ACADIA 2016-Posthuman Frontiers conference, USA.
- 13 AprDr.-Ing. Henriette Bier and PhD-cand. Sina Mostafavi speak at 3rd Digital Knowledge Study Day addressing the question Robots and/or Architecture?
- 14 MarSina Mostafavi and Henriette Bier publish paper on D2RP in Springer's Rob|Arch 2016.
- 17 Feb Prof. Kas Oosterhuis will lecture at The Royal Flemmish Academy of Belgium for Science and the Arts on Wednesday 17th February at 14:30
- 01 Feb1-3 February Henriette Bier is distinguished visiting scientist in Digital Ecologies at IMSE
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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.