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"labor" Keyword-tagged Publications:

Title Authors PubMed ID
1 Laboratory-scale simulation study on the bioremediation of marine oil pollution by phosphate-solubilizing bacteria Bacillus subtilis PSB-1 Du Z; Li Z; Chen X; Liu M; Feng L; Li Q; Chen Z; Chen Q; 41707285
ENCS
2 Design, Analysis, and Prototyping of a Multifunctional Digital Twin-Enabled Aerospace Drilling End-Effector Deployable by a Collaborative Robot Kazemiesfahani M; Dilfanian E; Monsarrat B; Hajzargarbashi S; 41471503
ENCS
3 Large scale laboratory evolution uncovers clinically relevant collateral antibiotic sensitivity Chowdhury FR; Banari V; Lesnic V; Zhanel GG; Findlay BL; 40615056
BIOLOGY
4 Leading the way to a safer workplace: What enables supervisors to be servant leaders and enhance subordinates workplace safety behaviors? Chen YP; Hsu YS; Panaccio A; Wang H; 40483067
JMSB
5 Searching and reporting in Campbell Collaboration systematic reviews: A systematic assessment of current methods Young S; MacDonald H; Louden D; Ellis UM; Premji Z; Rogers M; Bethel A; Pickup D; 39176233
CONCORDIA
6 Myelin basic protein mRNA levels affect myelin sheath dimensions, architecture, plasticity, and density of resident glial cells Bagheri H; Friedman H; Hadwen A; Jarweh C; Cooper E; Oprea L; Guerrier C; Khadra A; Collin A; Cohen-Adad J; Young A; Victoriano GM; Swire M; Jarjour A; Bechler ME; Pryce RS; Chaurand P; Cougnaud L; Vuckovic D; Wilion E; Greene O; Nishiyama A; Benmamar-Badel A; Owens T; Grouza V; Tuznik M; Liu H; Rudko DA; Zhang J; Siminovitch KA; Peterson AC; 39023138
CSBN
7 The Magical Work of Brand Futurity: The Mythmaking of Disney Jake Pitre 37560617
CONCORDIA
8 How to build up big team science: a practical guide for large-scale collaborations Baumgartner HA; Alessandroni N; Byers-Heinlein K; Frank MC; Hamlin JK; Soderstrom M; Voelkel JG; Willer R; Yuen F; Coles NA; 37293356
PSYCHOLOGY
9 Functional Synthetic Biology Aldulijan I; Beal J; Billerbeck S; Bouffard J; Chambonnier G; Ntelkis N; Guerreiro I; Holub M; Ross P; Selvarajah V; Sprent N; Vidal G; Vignoni A; 37073284
BIOLOGY
10 Who's cooking tonight? A time-use study of coupled adults in Toronto, Canada Liu B; Widener MJ; Smith LG; Farber S; Gesink D; Minaker LM; Patterson Z; Larsen K; Gilliland J; 36339032
ENCS
11 The Value in Science-Art Partnerships for Science Education and Science Communication. Zaelzer C 32616625
CONCORDIA

 

Title:Design, Analysis, and Prototyping of a Multifunctional Digital Twin-Enabled Aerospace Drilling End-Effector Deployable by a Collaborative Robot
Authors:Kazemiesfahani MDilfanian EMonsarrat BHajzargarbashi S
Link:https://pubmed.ncbi.nlm.nih.gov/41471503/
DOI:10.3390/s25247504
Publication:Sensors (Basel, Switzerland)
Keywords:ACMEEnd-of-Arm Tool (EoAT)Industry 4 0ROSautomated drillingcollaborative robot (cobot)cyber-physical system (CPS)digital twinone-up assembly
PMID:41471503 Category: Date Added:2025-12-31
Dept Affiliation: ENCS
1 Aerospace Manufacturing Technologies Centre, National Research Council Canada, Montreal, QC H3T 1J4, Canada.
2 Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.
3 Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.

Description:

Drilling in aerospace one-up assembly demands high positional accuracy, strong clamping forces, and precise angular compensation to ensure quality in multi-layered stacks. Existing robotic solutions achieve these requirements but are costly, bulky, and unsuitable for flexible or collaborative environments. This work introduces the Advanced Collaborative Multifunctional End-Effector (ACME), a lightweight robotic drilling end-effector designed for integration with collaborative robots (cobots). ACME incorporates vacuum-assisted clamping capable of generating high forces, a passive self-normalization mechanism for angular alignment on double-curvature surfaces, and a compact 5-DoF positioning system for precise positioning and orientation. The system's kinematics and dynamics were modeled and experimentally verified through frequency response function (FRF) testing, enabling precise behavior prediction. The tool is integrated within a cyber-physical system (CPS) featuring an interactive digital twin that, unlike passive monitoring systems, allows operators to configure workpieces, select drilling locations directly from rendered CAD, and supervise execution without programming expertise. Experiments demonstrated average positional errors of 0.19 mm and normality deviations of 0.29°, both within aerospace standards. The results confirm that ACME effectively extends cobot capabilities for aerospace-grade drilling while improving flexibility, safety, and operator accessibility.





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