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- 29 JanDr. Nimish Biloria appointed as board member OCEAN Design Research Association
- 29 JanNext Generation Building special issue: info-matter, edited by Dr. Nimish Biloria and Matias Del Campo is out now.
- 27 JanFinal Review MSc1 Design Studio: EXPO 2025 (World Expo Rotterdam 2025)
- 26 JanHenriette Bier and Sina Mostafavi publish paper on Structural Optimization for Materially Informed D2RP
- 15 JanJoint PhD student Tiantian Du joins Hyperbody
- 12 Jan Henriette Bier and Sina Mostafavi discuss how robotic processes improve the built environment in Delta interview
- 04 JanFibrous Smart Material Topologies initiated by Dr. Nimish Biloria has received funding from 3TU.Bouw and will be implemented in collaboration with TU Eindhoven, U Twente and EURECAT
- 26 NovHyperbody MSc2 studios "Design To Robotic Production" and "Inter-Activating Environments" prototypes at exhibition "Synthetic 2015"
- 24 NovProf. Kas Oosterhuis will lecture at Dubai Chamber of Commerce on 24th of November at 13:30. The lecture is entitled: "Unchaining The Building Industry"
- 12 NovSocialGlass is among the selected projects to be presented at 'De Veranderende Stad' Exhibition in Amsterdam
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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.