-
- 10 DecProf. Kas Oosterhuis lectures at Doha Architecture Forum
- 03 DecAchilleas Psyllidis participates in the Collaborative Innovation Center on Big Data Science between IBM and TU Delft
- 02 DecAlireza Mahdizadeh Hakak is invited for a talk at the 4th Visionair General Assembly, INRIA Rennes, France
- 22 NovAchilleas Psyllidis and Han Feng participate and present at the Urban Systems and Environment Conference in Guangzhou, China
- 20 NovDr. Nimish Biloria gives an Invited Talk, chairs scientific research sessions and operates as Scientific Committee member at ICONARCH II
- 13 NovSina Mostafavi and Nimish Biloria from Hyperbody with Soungmin Yu from ZHA Published in ACADIA 2014, Design Agency
- 13 NovKas Oosterhuis and Henriette Bier are lecturing and chairing session, respectively, at the international conference CCC co-organized by Hyperbody
- 12 NovHenriette Bier lectures at the International Technology Festival Border Sessions 2014 in The Hague
- 11 NovDr. Nimish Biloria and Hyperbody students, showcase real-time interactive prototypes developed for the EU Project: Metabody at the DIG-it! exhibition
- 11 NovAchilleas Psyllidis from Hyperbody together with researchers from Web Information Systems demonstrate the SocialGlass platform prototype at DIG-it!
-
-
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.