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- 21 SepAGILE FAB, Busting the last ghosts of modernism - Hyperbody organizes an international workshop taking place from 21-25 September 2015
- 16 SepThe Robotic Building Team of Hyperbody published a paper on "Design to Robotic Production System for Informed Material Deposition" @ eCAADe 2015
- 07 SepSocialGlass was the official real-time crowd-management platform for SAIL 2015
- 02 SepInteractive Architecture for Delft, lecture and debate by prof. Kas Oosterhuis @ Beta Balie Delft
- 02 SepDr. Nimish Biloria, in an interview with B Nieuws explains the intent and the novelty of the EU Culture project METABODY
- 24 AugSeamless Variation in Design to Robotic Production Processes
- 28 JulDr Nimish Biloria speaker at the Living Machines conference on Biomimetic and Biohybrid Systems, 28-31 July 2015, Barcelona, Spain
- 27 JulJia-Rey Chang will deliver a lecture in LAVA-Axon Workshop "Kinetic Structure"
- 14 JulHyperbody's METABODY team exhibits 1:1 real-time interactive installations at the METATOPIA public event taking place 14th - 25th July at Media Lab Prado, Madrid, Spain
- 09 JulAchilleas Psyllidis gives 2 presentations at the Massachusetts Institute of Technology (MIT) for the purpose of CUPUM 2015
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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.