- 20 MayHyperbody designs a SynSerre (Synergetic Greenhouse)
- 19 MayBook Launch event iA#4
- 13 MayINDESEM'11: Lecture by Kas Oosterhuis, and 4 Workshops by lead by Hyperbody researchers
- 28 AprArchitects Talk: Kas Oosterhuis & Tomasz Jaskiewicz - Forward to Basics_(In)formed Complexity
- 13 AprBook review "Toward a New Kind of Building" on ArchiNed by Piet Vollaard
- 09 AprTomasz Jaskiewicz participates in Expert Meeting "The Vibrancy Effect" at V2_
- 08 AprHyperbody releases the fourth issue of the iA bookzine series; iA#4: Quantum Architecture
- 06 AprAn interview with Kas Oosterhuis by Martin Pot
- 05 ApriWEB will be transformed to become a living lab for climate research and sustainable solutions of the DUT.
- 04 AprImmediate Architecture - Christian Friedrich gives lecture at ENSA Paris-Malaquais
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.