- 04 MayKas Oosterhuis is invited speaker at Mosque Design & Development Summit taking place 3-4 May in Dubai
- 03 MayHenriette Bier is co-founder and -editor of new Springer Series in Adaptive Environments
- 24 AprMonday 24th April 2017 at Dessau Institute of Architecture (DIA) : Midterm Review MSc 2 Design Studio D2RP&O
- 21 AprKas Oosterhuis lectures @ Craftsmanship in the Digital Age #2 Innovative Building Components
- 21 AprFriday 21st April 2017 at 14:00 in protoSPACE: Midterm Review MSc 2 Design Studio Interactive Acoustic Systems (IAS)
- 05 Apr5th April Henriette Bier gives inaugural lecture as visiting professor at Dessau Institute of Architecture
- 30 MarInterview with Henriette Bier and Sina Mostafavi published in Delta
- 27 MarKas Oosterhuis present at Discussion Panel and deliver lecture "Protospacing Prototyping" at TU Wien Research Day 2016/17
- 24 MarInternational Colloquium: Design-to-Robotic-Production & -Operation (D2RP&O)
- 18 Mar18th of March Henriette Bier and Sina Mostafavi participate in international symposium Les formes du digital at the Centre Pompidou
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.