- 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
- 14 MarMarch 14th - June 19th Robotic Building team participates in the exhibition Imprimer le monde at the Centre Pompidou
- 14 Mar14 March 15:00h Lecture by Jose Sanchez: Architecture for the commons
- 14 MarKas Oosterhuis holds masterclass The How and Why of Parametric Design on Tuesday 14 March 16.00h during Design Days Dubai 2017
- 14 MarKas Oosterhuis exhibits his parametric Body Chair at Design Days Dubai 2017 from 14-18 March 2017
- 10 FebDr. Nimish Biloria appointed as Scientific Reviewer for the 2017 eCaaDe conference: Sharing of computable Knowledge, ShoCK!
- 06 FebFibrous Smart Material Topologies project to be exhibited at BouwBeurs 2017.
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.