Collaborative Robotic Masonry and Early Stage Fatigue Prediction

Avishek Das, Isak Worre Foged, Mads Brath Jensen, Michael Natapon Hansson

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)
56 Downloads (Pure)

Abstract

The nature of craft has often been dictated by the type and nature of the tool. The authors intend to establish a new relationship between a mechanically articulated tool and a human through the development a symbiotic relationship between them. This study attempts to develop and deploy a framework for collaborative robotic masonry involving one mason and one industrial robotic arm. This study aims to study the harmful posture and muscular stress developed during the construction work and involve a robotic arm to aid the mason to reduce the cumulative damage to one's body. Through utilization of RGBD sensors and surface electromyography procedure the study develops a framework that distributes the task between the mason and robot. The kinematics and electromyography detects the fatigue and harmful postures and activates the robot to collaborate with the mason in the process.
Original languageEnglish
Title of host publicationArchitecture in the Age of the 4th Industrial Revolution : Proceedings of the 37th eCAADe and 23rd SIGraDi Conference
Volume3
PublisherUniversity of Porto
Publication date2019
Pages171-178
Publication statusPublished - 2019
EventThe eCAADe and SIGraDi Conference 11-13 sep 2019, Faculty of Architecture, University of Porto, Portugal - University of Porto, Porto, Portugal
Duration: 11 Sept 201913 Sept 2019
Conference number: 37th
http://www.ecaade.org/prev-conf/archive/ecaade2019/ecaadesigradi2019.arq.up.pt/index.html

Conference

ConferenceThe eCAADe and SIGraDi Conference 11-13 sep 2019, Faculty of Architecture, University of Porto, Portugal
Number37th
LocationUniversity of Porto
Country/TerritoryPortugal
CityPorto
Period11/09/201913/09/2019
Internet address

Fingerprint

Dive into the research topics of 'Collaborative Robotic Masonry and Early Stage Fatigue Prediction'. Together they form a unique fingerprint.

Cite this