Optimization of robotic workplaces

Čejka, Jan; Cernohorsky, Josef

doi:10.1109/carpathiancc.2016.7501083

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…Consequently, efforts have been made towards implementation of intelligent robots for increased efficiency and to optimize the execution of a given task. In particular, optimization techniques have emerged and are continually subject of improvements within the scientific community working on cell configuration and trajectory planning (Čejka and Černohorský, 2016; Mombaur et al , 2014).…”

Section: Related Workmentioning

confidence: 99%

Optimal automatic path planner and design for high redundancy robotic systems

Tavares

Marques²,

Malaca³

et al. 2019

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Purpose 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. Design/methodology/approach A newly developed optimized technique to deal with automatic planning and design of robotic systems is proposed and tested in this paper. Findings 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. Practical implications 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. Originality/value 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.

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Section: Related Workmentioning

confidence: 99%

Optimal automatic path planner and design for high redundancy robotic systems

Tavares

Marques²,

Malaca³

et al. 2019

View full text Add to dashboard Cite

show abstract

“…A case study demonstrated an optimum design in an automotive assembly line while considering resource energy consumption, investment cost, availability and annual production volume, and machine utilization 11 . Some measures and techniques were portrayed for a robotic workplace to utilize robot technology for welding effectively, and presented strategies were tested in a welding shop 12 . A new methodology presented to optimize robot layout to diminish energy consumption and two robot work cells built within the DELMIA robotics environment reveals 20% saving of energy 13 .…”

Section: Introductionmentioning

confidence: 99%

“…[ 11 ] Some measures and techniques were portrayed for a robotic workplace to utilize robot technology for welding effectively, and presented strategies were tested in a welding shop. [ 12 ] A new methodology presented to optimize robot layout to diminish energy consumption and two robot work cells built within the DELMIA robotics environment reveals 20% saving of energy. [ 13 ] The robotic assembly line design was proposed for Brazil's automotive industry while considering dead time during a cycle, space constraints, task assignment restrictions, and parallelism possibilities.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the cycle time of robotics resistance spot welding for automotive applications

Banga

Kalra

Kumar

et al. 2021

J Adv Manuf & Process

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In the automobile manufacturing industry, resistance spot welding (RSW) is widely used, especially to build the car"s body. The RSW is a standard and wide-ranging joining technique in several assembling ventures, showing a wide range of possibilities for a competent procedure. Robots are commonly used for spot welding in various industrial applications. After completing assembling design, interest increases to improve the designed processes, cost-reduction, environmental impact, and increase time productivity when all is said to be done. In this paper, the robot movement between two welding points, a path followed while spotting, gripping and payload-carrying activities, numbers of holds, moves, and a possibility to enhance interaction between four Robots were analyzed using an offline Robot simulation software "DELMIA-V5". The body shop assembly line of the SML ISUZU plant has four robots that perform about 209 welding spots in 532 sec. The optimal model reduced the whole welding cycle time by 68 sec, and after modification and proper sequencing, a12.7% reduction in cycle time was achieved. The offline Robot simulation software "DELMIA-V5" has good potential to produce optimal algorithms while saving precious time. It enables an organization to promote higher quality and to encourage meaningful creativity by reducing design flaws.

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Optimization of robotic workplaces

Cited by 2 publications

References 2 publications

Optimal automatic path planner and design for high redundancy robotic systems

Optimal automatic path planner and design for high redundancy robotic systems

Optimization of the cycle time of robotics resistance spot welding for automotive applications

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