{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T18:41:28Z","timestamp":1763664088882,"version":"3.41.2"},"reference-count":28,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2019,11,16]],"date-time":"2019-11-16T00:00:00Z","timestamp":1573862400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IR"],"published-print":{"date-parts":[[2019,11,16]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>In the vast majority of the individual robot installations, the robot arm is just one piece of a complex puzzle of components, such as grippers, jigs or external axis, that together compose an industrial robotic cell. The success of such installations is very dependent not only on the selection of such components but also on the layout and design of the final robotic cell, which are the main tasks of the system integrators. Consequently, successful robot installations are often empirical tasks owing to the high number of experimental combinations that could lead to exhaustive and time-consuming testing approaches.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>A newly developed optimized technique to deal with automatic planning and design of robotic systems is proposed and tested in this paper.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The application of a genetic-based algorithm achieved optimal results in short time frames and improved the design of robotic work cells. Here, the authors show that a multi-layer optimization approach, which can be validated using a robotic tool, is able to help with the design of robotic systems.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title><jats:p>The usage of the proposed approach can be valuable to industrial corporations, as it allows for improved workflows, maximization of available robotic operations and improvement of efficiency.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>To date, robotic solutions lack flexibility to cope with the demanding industrial environments. The results presented here formalize a new flexible and modular approach, which can provide optimal solutions throughout the different stages of design and execution control of any work cell.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ir-09-2018-0194","type":"journal-article","created":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T06:47:38Z","timestamp":1574750858000},"page":"131-139","source":"Crossref","is-referenced-by-count":7,"title":["Optimal automatic path planner and design for high redundancy robotic systems"],"prefix":"10.1108","volume":"47","author":[{"given":"Pedro","family":"Tavares","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Marques","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Malaca","sequence":"additional","affiliation":[]},{"given":"Germano","family":"Veiga","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Costa","sequence":"additional","affiliation":[]},{"given":"Ant\u00f3nio P.","family":"Moreira","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"first-page":"279","article-title":"Robotic task sequencing problem: a survey","year":"2015","key":"key2020052608425103000_ref001"},{"year":"2011","key":"key2020052608425103000_ref002","article-title":"Integrated design of robotic workcells for high quality machining"},{"first-page":"902","article-title":"Reactive path planning in a dynamic environment","year":"2009","key":"key2020052608425103000_ref003"},{"first-page":"271","article-title":"Optimizing schedules for prioritized path planning of multi-robot systems","year":"2001","key":"key2020052608425103000_ref004"},{"first-page":"3200","article-title":"Optimal manipulator path planning with obstacles using disjunctive programming","year":"2006","key":"key2020052608425103000_ref005"},{"first-page":"146","article-title":"Optimization of robotic workplaces","year":"2016","key":"key2020052608425103000_ref006"},{"first-page":"1265","article-title":"Methodology for developing robotic workcell simulation models","year":"2000","key":"key2020052608425103000_ref007"},{"key":"key2020052608425103000_ref008","doi-asserted-by":"crossref","unstructured":"Graetz, G. and Michaels, G. 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