- 29 JunHenriette Bier is invited speaker at Border Sessions 2017 in Den Haag
- 28 JunH. Bier, R. Schmehl, S. Mostafavi, A. Anton and S. Bodea publish paper on Kite-Powered Design-to-Robotic-Production for Affordable Building on Demand
- 28 JunA.Liu Cheng, H. Bier, G. Latorre, B. Kemper and D. Fischer publish a paper on A High-Resolution Intelligence Implementation based on D2RP&O strategies
- 15 JunProf. Dr. Michael U. Hensel lectures on "Embedded Architectures and Information-based Design"
- 08 JunKas Oosterhuis lectures at De Persgroep Advertiser's Summit 2017 "De kunst van het onderscheiden"
- 01 JunHenriette Bier and Sina Mostafavi review student work on D2RP&O at Dessau Institute of Architecture
- 01 JunKas Oosterhuis lectures at Brain Bar Budapest 2017 "talking about the future"
- 12 MayDr Gennaro Senatore lectures on "Adaptive Structures: Infinitely Stiff, Extremely Slender, Ultra-Light Weight"
- 09 MayPh.D. Candidate Jia-Rey Chang will deliver a lecture titled as "Being immature" at the international conference of "Cultura Experimentala TDSOM"
- 08 May8th May 2017, Henriette Bier lectures at the SAWSA Open Lecture Series organised by the Welsh School of Architecture 2016/17
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.