- 28 JanFinal presentation: Msc1 InfoMatters Design studio
- 21 JanPresentation and exhibition of the Minor 'Interactive Environments' at Science Centre Delft
- 12 JanHyperbody afternoon lecture series: Dr. Bert Bongers from the Faculty of Design, Architecture and Builiding at UTS
- 16 DecLecture Chris Kievid at Reality, Check!, the third event in the V2_AR Ecosystem series
- 29 NovExhibition of the Msc1 Nanjing Workshop (June 2010) at OostSerre at the faculty of Architecture of TU Delft
- 22 NovHyperbody invites you to enroll in the new MSc Program: Non-standard and Interactive Architecture
- 21 NovAccepted paper for FABRICATE Conference 2011 'Investigations in design and fabrication at Hyperbody'
- 12 NovLecture by Kas Oosterhuis at the Institute for Advanced Architecture in Catalonia
- 08 NovLecture Jelle Feringa at Colloquium # 18 Artificial Evolution at the Royal Academy of Art
- 05 NovDr. MarkDavid Hosale presents paper at the iDMAa Conference 2010 at Emily Carr University of Art and Design
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.