- 15 SepDr. Nimish Biloria has been appointed as the Program Committee member for the upcoming ICAT2E2017 conference, Qingdao, China
- 05 SepProf. Kas Oosterhuis speaker at the Cityscape Global Conference taking place 5th September 2016, Conrad Dubai
- 30 AugKas Oosterhuis, Henriette Bier and Nimish Biloria talk about Hyperbody's future in Bnieuws
- 03 AugAlex Liu Cheng and Henriette Bier win the best poster award at ISARC 2016
- 03 Aug3rd of August Henriette Bier presents Design-to-Robotic-Production (D2RP) at the Climate KIC Summer School
- 27 JulAli Reza and Nimish Biloria publish article in Springer Journal: Cognitive Neurodynamics: Navigating abstract virtual environment: an egg study
- 20 JulKas Oosterhuis and Alex Liu Cheng publish papers in archiDOCT vol. 7
- 08 JulJia-Rey Chang will present a cooperating real-time interactive fashion project in "Carrousel de Mimetique" of Immaterialicious.
- 01 Jul1st July, Final Review MSc 2 Design Studio GSM 3 (Game Set and Match 3)
- 27 JunHenriette Bier and Sina Mostafavi publish chapter on Robotic Building in Springer's Architecture and Interaction
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.