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- 07 NovThe Interactive Environments Minor presents the interactive 'TouchSpace' installation at TEDxDelft
- 23 OctNimish Biloria and Jia-Rey Chang @ XV OSSA architectural workshop "Fata Morgana"
- 18 OctLectures "Free-form Design by data-driven components" and "Evolutionary Energy Design" by Bernhard Sommer
- 07 OctNew PhD Canditate Sina Mostafavi joined Hyperbody
- 06 OctChristian Friedrich lecture and workshop at Protospace FabLab Utrecht - Immediate Architecture and protoTAG
- 05 OctPublication 'Complex Temporalities of Interactive Architecture' by Christian Friedrich in Infinite Instances: Studies and Images of Time
- 04 OctChristian Friedrich and Vera Laszlo present Hyperbody protoTAG at Innovation Estafette / Open Data Bazaar
- 20 SepAlireza Hakak lectures at eCAADe'11 on "New perception of virtual environments, Enhancement of creativity"
- 14 SepHyperbody participates in "The Urban Future is Personal" program at PICNIC festival
- 06 SepNew PhD Candidate Jia-Rey Chang explores the development of "SmartGeometry"
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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.