AI-supported approach for human-building interaction implemented at furniture scale

Henriette Bier; Arwin Hidding; Stijn Brancart; Alessandra Luna-Navarro; Seyran Khademi; Casper van Engelenburg

doi:10.3389/fcomp.2024.1295014

AI-supported approach for human-building interaction implemented at furniture scale

Henriette Bier^*, Arwin Hidding, Stijn Brancart, Alessandra Luna-Navarro, Seyran Khademi, Casper van Engelenburg

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

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Abstract

Human-Building Interaction (HBI) relies on sensor-actuator networks that are increasingly supported by Artificial Intelligence (AI). This paper presents a novel AI-supported Design-to-Robotic-Production-Assembly and -Operation (D2RPA&O) approach for reconfigurable furniture. It involves a multidisciplinary approach that relies on the integration of various domains such as architecture, robotics, computer, and material science. It contributes to the advancement of HBI by employing spatial reconfiguration relying on AI and lightweight material design, which is of relevance, particularly when the furniture consists of non-identical but similar components that are re−/ configured in a variety of possible combinations.

Original language	English
Article number	1295014
Number of pages	9
Journal	Frontiers in Computer Science
Volume	6
DOIs	https://doi.org/10.3389/fcomp.2024.1295014
Publication status	Published - 2024

Keywords

AI
human-building interaction
multi-disciplinary design
parametric and interaction design
robotic prototyping

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10.3389/fcomp.2024.1295014

fcomp-06-1295014Final published version, 1.85 MBLicence: CC BY

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title = "AI-supported approach for human-building interaction implemented at furniture scale",

abstract = "Human-Building Interaction (HBI) relies on sensor-actuator networks that are increasingly supported by Artificial Intelligence (AI). This paper presents a novel AI-supported Design-to-Robotic-Production-Assembly and -Operation (D2RPA&O) approach for reconfigurable furniture. It involves a multidisciplinary approach that relies on the integration of various domains such as architecture, robotics, computer, and material science. It contributes to the advancement of HBI by employing spatial reconfiguration relying on AI and lightweight material design, which is of relevance, particularly when the furniture consists of non-identical but similar components that are re−/ configured in a variety of possible combinations.",

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AU - Hidding, Arwin

AU - Brancart, Stijn

AU - Luna-Navarro, Alessandra

AU - Khademi, Seyran

AU - van Engelenburg, Casper

PY - 2024

Y1 - 2024

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AB - Human-Building Interaction (HBI) relies on sensor-actuator networks that are increasingly supported by Artificial Intelligence (AI). This paper presents a novel AI-supported Design-to-Robotic-Production-Assembly and -Operation (D2RPA&O) approach for reconfigurable furniture. It involves a multidisciplinary approach that relies on the integration of various domains such as architecture, robotics, computer, and material science. It contributes to the advancement of HBI by employing spatial reconfiguration relying on AI and lightweight material design, which is of relevance, particularly when the furniture consists of non-identical but similar components that are re−/ configured in a variety of possible combinations.

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KW - multi-disciplinary design

KW - parametric and interaction design

KW - robotic prototyping

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JO - Frontiers in Computer Science

JF - Frontiers in Computer Science

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AI-supported approach for human-building interaction implemented at furniture scale

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Keywords

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