Direct off-line robot programming via a common CAD package

Neto, Pedro; Mendes, Nuno

doi:10.1016/j.robot.2013.02.005

Cited by 105 publications

(55 citation statements)

References 41 publications

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“…This system consists of robot ABB IRB 1600 type with controller IRC5, pressure pot with adhesive and painting gun RA5 HV3 from Krautzberger company, see Fig. 1 [1,12].…”

Section: Main Parameters Of Spraying Adhesivementioning

confidence: 99%

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Testing of adhesive spray painting with robot

et al. 2017

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Professional paperThis article aims at setting appropriate parameters for robotic spraying of adhesives used in industry. The robot ABB IRB 1600 was used in a nonexplosive environment. The adhesive was dispensed from pressure sweat and applied by a Krautzberger RA5 spray head. The article describes a detailed diagram for automatic connection of a painting gun. The results of the individual tests are shown in the tables and the dependencies of the individual parameters are described in the graphs. Depending on the amount of spray applied, the best samples are evaluated according to the adhesive manufacturer's recommendations. Keywords: adhesive; painting gun; pressure pot; robot Ispitivanje bojenja mlazom adhezivnog sredstva nanesenog robotomStručni članak Cilj je ovoga rada određivanje odgovarajućih parametara za raspršivanje adheziva korištenih u industriji uz primjenu robota. Korišten je robot ABB IRB 1600 u neeksplozivnom okruženju. Adheziv se oslobađao iz tlačne posude i nanosio raspršivačem Krautzberger RA5. U radu se daje detaljan opis dijagrama za automatsko spajanje pištolja za bojenje. Rezultati pojedinačnih testova dani su u tablicama, a ovisnosti pojedinih parametara prikazane su u grafikonima. Ovisno o količini nanesenog mlaza, najbolji uzorci su ocijenjeni u skladu s preporukama proizvođača adheziva.

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“…This system consists of robot ABB IRB 1600 type with controller IRC5, pressure pot with adhesive and painting gun RA5 HV3 from Krautzberger company, see Fig. 1 [1,12].…”

Section: Main Parameters Of Spraying Adhesivementioning

confidence: 99%

“…The generated path is usually operator-dependent and error-prone. It is even harder for engineers to figure out better paths when some performance criteria have to be considered [1,2].…”

Section: Introductionmentioning

confidence: 99%

Testing of adhesive spray painting with robot

et al. 2017

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“…They used algorithmic and graph theoretic approaches. Neto and Mendes [16] proposed an intuitive offline robot programming method in which extraction of motion data from CAD, mapping data from CAD model to real environment and process of automatic robot program generation were done. Stenmark and Malec [17] developed a knowledge integration framework (KIF) (containing robotics ontologies, data repository and services provided for stored knowledge), a robot programming system and a robot task execution system.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Robotic Assembly Sequence Planning and Optimization by Cuckoo Search Algorithm

Mishra¹,

Deb²

2018

dtetr

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The assembly sequence optimization problem is challenging as number of sequences rises staggeringly with part count making it combinatorically explosive, tedious and time consuming to solve. A Computer-Aided Process Planning (CAPP) system for robotic assembly by a discrete cuckoo search algorithm has been proposed by us to generate feasible and optimal sequences considering minimization of orientation changes, tool/gripper changes, assembly stability and base component location. A case study and comparison results with an established soft computing approach are presented to show its effectiveness. It is further integrated with an upstream assembly product database to extract information on assembly directions, contact details, assembly precedence constraints and tool/grippers. Further the assembly sequence output from CAPP system is integrated with a robot task planner developed using Knowledge Based System capable of automatically generating executable robot level program for performing the assembly.

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“…In particular in [14], a system for CAD-based OLP is presented where robot programs are automatically generated from a graphical description of the robot paths over a 3-D CAD model of a given robotic cell. The paper explores the issues involved in robot motion representation and its automated extraction from a given CAD drawing, data mapping between the CAD model and the real environment as well as the ability to automatically generate the necessary robot paths and programs.…”

Section: Introductionmentioning

confidence: 99%

Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming

Maiolino

Woolley

Branson

et al. 2017

Robotics and Computer-Integrated Manufacturing

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In aerospace manufacture the accurate and robust application of sealant is an integral and challenging part of the manufacturing process that is still performed by human operator. Automation of this process is difficult and not cost effective due to the high variability in the parts to operate and also the difficulty associated with programming industrial robotic systems. This work tries to overcome these problems by presenting an AOLP (Automatic Off-Line Programming) system for sealant dispensing through the integration of the ABB's proprietary OLP (Off-Line Programming) system RobotStudio with a relatively new RBG-D sensor technology based on structured light and the development of a RobotStudio add-on. The integration of the vision system in the generation of the robot program overcomes the current problems related to AOLP systems that rely on a known model of the work environment. This enables the ability to dynamically adapt the model according to sensor data, thus coping with environmental and parts variability during operation. Furthermore it exploits the advantages of an OLP system simplifying the robot programming allowing for faster automation of the process. et al. / Robotics and Computer Integrated Manufacturing 00 (2016) keywords: AOLP, RGB-D sensor, Sealant dispensing2 Maiolino

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Direct off-line robot programming via a common CAD package

Cited by 105 publications

References 41 publications

Testing of adhesive spray painting with robot

Testing of adhesive spray painting with robot

Robotic Assembly Sequence Planning and Optimization by Cuckoo Search Algorithm

Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming

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