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- 29 MayHyperbody's Robotic Building team leads a workshop on Design to Robotic Production for Continuous Variation at InDeSem 15
- 28 MayDr Nimish Biloria speaker at the Delft Data Science Seminar on "Social Data Science for Workforce Management"
- 19 MayHenriette Bier co-tutored graduation project that received 1st prize Archiprix National and 1st prize Archiprix International
- 19 MayHenriette Bier publishes chapter on Digitally-driven Design and Architetcure in Neighborhood Technologies Media and Mathematics of Dynamic Networks
- 18 MayAchilleas Psyllidis's paper accepted for publication and demonstration at the 24th International World Wide Web Conference (WWW 2015)
- 18 MayDr. Nimish Biloria lectures at the Architecture Week'15 - Beyond Shape event at the University of Lusofona, Lisbon, Portugal
- 15 MayJia-Rey Chang will deliver a talk in Creative Coding Amsterdam 001 "Inhabitants of the Subterranean"
- 12 AprHenriette Bier presents Robotic Building at TEDxDelft Salon's Crossing Bridges event that deals with the theme The Future
- 09 AprDr. Nimish Biloria invited as Speaker at the worldwide Internet of Things (IoT) event at the V2 Institute for the Unstable Media, Rotterdam
- 09 AprDr. Nimish Biloria to deliver a talk at the The 6th Conference of Urban System and Environment (USE) Joint Research Centre between SCUT and TU Delft
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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.