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- 18 JanHenriette Bier is invited speaker at Facility for Future taking place 18-20 January in 's-Hertogenbosch
- 02 JanJanuary 2nd - January 8th 2017: Dr Nimish Biloria to Lecture and act as External Critique at the Kuwait University.
- 28 DecNext Generation Building issue #3 on Robotic Building edited by Henriette Bier is available now!
- 19 DecDr. Nimish Biloria appointed as Scientific Reviewer for the EKSIG2017 Conference >> ALIVE. ACTIVE. ADAPTIVE.
- 19 DecDr. Nimish Biloria appointed as Scientific Reviewer for the Journal of Mechanical Engineering Science, SAGE Publishing.
- 16 DecProf. Kas Oosterhuis lectures at the KIVI event "The Experience of Movement" at Stedelijk Museum Amsterdam
- 28 NovRegistration for MSc 2 on Robotic Building starting February 2017 opened just now
- 24 NovDr. Nimish Biloria will deliver a Keynote Lecture and operates as a workshop tutor for the Agile Fab International workshop at UniSA
- 22 NovDr. Nimish Biloria will deliver a Keynote Lecture at University of Technology Sydney, Advanced Construction Research Group
- 17 NovAchilleas Psyllidis is defending his PhD dissertation on November 17, 2016 at 12:30h
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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.