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- 23 OctDr. Nimish Biloria interviewed by CNN International and Fast Company
- 15 OctDr. Nimish Biloria gives a key note lecture at the ArcIntex Conference: Shaping (un)common grounds at TU Eindhoven, The Netherlands.
- 13 OctMedia Studies Lecture Series:Tim Geurtjens from Joris Laarman Lab lectures at Protospace
- 26 SepAchilleas Psyllidis and a group of Researchers from Web Information Systems & Delft Data Science are participating in New Horizons Festival
- 17 SepABB and Hyperbody are setting up collaboration scenarios on robotics in architecture
- 09 SepMSc2 student projects Reflectego & RoboZoo featured at METABODY annual meeting in Madrid
- 09 SepAmbiguous Topology performance featured at METABODY annual meeting in Madrid
- 08 SepSina Mostafavi and Matthew Tanti publish and present in eCAADe2014(NCC, UK): DESIGN TO FABRICATION INTEGRATION AND MATERIAL CRAFTSMANSHIP
- 04 SepKas Oosterhuis and Henriette Bier lecture and chair session, respectively, at the What's the Matter conference in Barcelona.
- 09 JulDr. Henriette Bier and PhD cand. Jia-Rey Chang publish papers in the 3rd issue of Archidoct
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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.