Multi-Robot Multi-Station Cooperative Spot Welding Task Allocation Based on Stepwise Optimization: An Industrial Case Study

2022 ◽  
Vol 73 ◽  
pp. 102197
Author(s):  
Bo Zhou ◽  
Rui Zhou ◽  
Yahui Gan ◽  
Fang Fang ◽  
Yujie Mao
Keyword(s):  
Task Allocation ◽  
Spot Welding ◽  
Industrial Case Study ◽  
Multi Robot

Balancing a robotic spot welding manufacturing line: An industrial case study

2017 ◽  
Vol 263 (3) ◽  
pp. 1033-1048 ◽  
Author(s):  
Thiago Cantos Lopes ◽  
C.G.S. Sikora ◽  
Rafael Gobbi Molina ◽  
Daniel Schibelbain ◽  
L.C.A. Rodrigues ◽  
...  
Keyword(s):  
Spot Welding ◽  
Industrial Case Study ◽  
Manufacturing Line

Task Allocation Methods for Homogeneous Multi-Robot Systems: Feed Pushing Case Study

2018 ◽  
Vol 52 (5) ◽  
pp. 371-381 ◽  
Author(s):  
A. Nikitenko ◽  
E. Lavendelis ◽  
M. Ekmanis ◽  
R. Rumba
Keyword(s):  
Task Allocation ◽  
Robot Systems ◽  
Multi Robot ◽  
Allocation Methods

Multi-robot, dynamic task allocation: a case study

2013 ◽  
Vol 6 (3) ◽  
pp. 137-154 ◽  
Author(s):  
Soheil Keshmiri ◽  
Shahram Payandeh
Keyword(s):  
Task Allocation ◽  
Dynamic Task ◽  
Dynamic Task Allocation ◽  
Multi Robot

scholarly journals On systematically building a controlled natural language for functional requirements

2021 ◽  
Vol 26 (4) ◽  
Author(s):  
Alvaro Veizaga ◽  
Mauricio Alferez ◽  
Damiano Torre ◽  
Mehrdad Sabetzadeh ◽  
Lionel Briand
Keyword(s):  
Information System ◽  
Natural Language ◽  
Qualitative Methodology ◽  
Case Study Research ◽  
Empirical Evaluation ◽  
Functional Requirements ◽  
Industrial Case Study ◽  
Requirements Specifications ◽  
Financial Domain

AbstractNatural language (NL) is pervasive in software requirements specifications (SRSs). However, despite its popularity and widespread use, NL is highly prone to quality issues such as vagueness, ambiguity, and incompleteness. Controlled natural languages (CNLs) have been proposed as a way to prevent quality problems in requirements documents, while maintaining the flexibility to write and communicate requirements in an intuitive and universally understood manner. In collaboration with an industrial partner from the financial domain, we systematically develop and evaluate a CNL, named Rimay, intended at helping analysts write functional requirements. We rely on Grounded Theory for building Rimay and follow well-known guidelines for conducting and reporting industrial case study research. Our main contributions are: (1) a qualitative methodology to systematically define a CNL for functional requirements; this methodology is intended to be general for use across information-system domains, (2) a CNL grammar to represent functional requirements; this grammar is derived from our experience in the financial domain, but should be applicable, possibly with adaptations, to other information-system domains, and (3) an empirical evaluation of our CNL (Rimay) through an industrial case study. Our contributions draw on 15 representative SRSs, collectively containing 3215 NL requirements statements from the financial domain. Our evaluation shows that Rimay is expressive enough to capture, on average, 88% (405 out of 460) of the NL requirements statements in four previously unseen SRSs from the financial domain.

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