Dynamically Optimizing Experiment Schedules of a Laboratory Robot System with Simulated Annealing

Cabrera, Cristina; Fine-Morris, Morgan; Pokross, Matthew; Kish, Kevin; Michalczyk, Stephen; Cahn, Matthew H.; Klei, Herbert E.; Russo, Mark F.

doi:10.1177/2211068214546493

Cited by 7 publications

(8 citation statements)

References 5 publications

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“…which is very common in several other SAA implementations (Peprah et al, 2017;Mahdi et al, 2017;Cabrera et al, 2014;Khairuddin and Zainuddin, 2019).…”

Section: The Geophysical Inversionmentioning

confidence: 96%

Simulated Annealing for volcano muography

Vesga-Ramirez

Sanabria-Gómez

Sierra-Porta

et al. 2021

Journal of South American Earth Sciences

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We discuss the geophysical inversion methodology for volcanic muography based on the Simulated Annealing algorithm, using a semi-empirical model of the muon flux reaching the volcano, its surrounding topography and a framework for the energy loss of muons in rock. We determined the minimum muon energy-as function of the arrival direction-needed to cross the volcanic building, the emerging integrated flux of muons and the density profile inside a model of Cerro Machín volcano (Tolima, Colombia) within a maximum error of 1% concerning the theoretical model.

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“…which is very common in several other SAA implementations (Peprah et al, 2017;Mahdi et al, 2017;Cabrera et al, 2014;Khairuddin and Zainuddin, 2019).…”

Section: The Geophysical Inversionmentioning

confidence: 96%

Simulated Annealing for volcano muography

Vesga-Ramirez

Sanabria-Gómez

Sierra-Porta

et al. 2021

Journal of South American Earth Sciences

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“…This increases the stability of the workflow execution considerably. 4 The greatest uncertainties in the overall system arise from the transport processes. This includes, for example, necessary path changes of the mobile robots due to obstacles or necessary charging procedures.…”

Section: Architecture Of a Hierarchical Workflow Management Systemmentioning

confidence: 99%

Integrating Mobile Robots into Automated Laboratory Processes: A Suitable Workflow Management System

Thurow

Göde

et al. 2021

SLAS Technology

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“…For the accomplishment, a dynamic scheduling was selected, which can initiate rescheduling procedures dependent on arising unexpected events to adapt the sequence for new environmental conditions. Compared to static scheduling solutions, this approach offers a higher agility and considerably increased system stability for the workflow execution , . Compared to the event‐driven rescheduling, the hybrid approach (periodical/event‐driven), according to , obtains better performance for the result, but requires a more frequent accomplishment of the rescheduling procedure instead.…”

Section: Hierarchical Workflow Management Systemmentioning

confidence: 99%

Workflow Management System for the Integration of Mobile Robots in Future Labs of Life Sciences

Neubert

Göde

et al. 2019

Chemie Ingenieur Technik

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A present goal of life science automation is to network the wide range of automation systems distributed in laboratory buildings to control whole process chains. This work pursues the approach of combining mobile robots, human operators and established automation solutions in complex life science workflows. To achieve a higher level of automation, mobile robots assume the transportation tasks between the existing automation islands. A hierarchical workflow management system allows the planning, scheduling and autonomous execution of workflows in comprehensive laboratory infrastructures.

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Dynamically Optimizing Experiment Schedules of a Laboratory Robot System with Simulated Annealing

Cited by 7 publications

References 5 publications

Simulated Annealing for volcano muography

Simulated Annealing for volcano muography

Integrating Mobile Robots into Automated Laboratory Processes: A Suitable Workflow Management System

Workflow Management System for the Integration of Mobile Robots in Future Labs of Life Sciences

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