Robotized task time scheduling and optimization based on Genetic Algorithms for non redundant industrial manipulators

Baizid, Khelifa; Meddahi, Amal; Yousnadj, Ali; Chellali, Ryad; Khan, Hamza; Iqbal, Jamshed

doi:10.1109/rose.2014.6953033

Cited by 12 publications

(14 citation statements)

References 15 publications

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“…• task-level planning, where the scheduling of specified tasks performed by the robot is analysed, with a focus on strictly specified processes [6,15,16].…”

Section: Robotic Task Schedulingmentioning

confidence: 99%

A Lean Robotics Approach to the Scheduling of Robotic Adhesive Dispensing Process

Sobaszek¹

2022

Adv. Sci. Technol. Res. J.

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Modern implementations of industrial robots require the use of extensive knowledge and novel concepts. To bring real benefits, robotized processes must be analysed in detail. One can now observe an increasing use of lean robotics, a concept that is primarily intended to simplify processes and eliminate inefficient activities. This paper deals with industrial robot task scheduling in the adhesive dispensing process. The first part of the paper presents the modern concept of production process robotisation and reviews the literature on industrial robot task scheduling. After that, the problem of robotic adhesive dispensing on the electronic components of a printed circuit board (PCB) is presented. Another section of the paper describes the scheduling of effective and supporting tasks of the robot in the analysed process with the use of alternative dispatching rules. The determination of a schedule that is optimal in terms of the defined objective made it possible to discuss the results and reach valid conclusions. The study has confirmed that modern concepts are useful for simplifying robotic production processes.

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“…• task-level planning, where the scheduling of specified tasks performed by the robot is analysed, with a focus on strictly specified processes [6,15,16].…”

Section: Robotic Task Schedulingmentioning

confidence: 99%

A Lean Robotics Approach to the Scheduling of Robotic Adhesive Dispensing Process

Sobaszek¹

2022

Adv. Sci. Technol. Res. J.

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“…Automating operations to the program language will be the challenge of the time [16]. Using the techniques in [17], [18] based on artificial neural network is an interesting idea to study it. A robot searching for objects in the sea that it can withstand at the deepest possible depth is a topic of interest [19].…”

Section: Introductionmentioning

confidence: 99%

The application of a optimal controller for the flexible joint robot

Danh¹

2022

EAI Endorsed Trans Cloud Sys

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This paper describes the operation of a single Degree of Freedom (DOF) flexible robotic arm by the optimal controller. The derived model is based on Euler- Lagrange approach, while the first and second-order (super twisting) Sliding Mode Control (SMC) is proposed as a nonlinear control strategy. Exploration of a flexible robotic arm with using state-of-the-art controllers is essential for practical applications. This is even more refreshing when these arms have joints that work independently of each other to create a smooth connection between the joints, but it still ensures the natural properties like a real human arm. This system has many similarities with the flexible link system of the MIMO model in its operational state analysis. Control laws must be followed by logical rules in a coherent whole. The next step is to design a controller to fit the structure of the system. The author also compared the use of the above controller with a system without using any controller to determine the effectiveness of using the above controller.

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“…In ref. [14], a similar problem is address but this time by adding discrete limited orientation placement options for the robot. The issue with GA is that it is naturally limited to discrete search spaces.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous task placement and sequence optimization in an inspection robotic cell

FarzanehKaloorazi¹,

Bonev²,

Birglen³

2021

Robotica

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In this article, we improve the efficiency of a turbine blade inspection robotic workcell. The workcell consists of a stationary camera and a 6-axis serial robot that is holding a blade and presenting different zones of the blade to the camera for inspection. The problem at hand consists of a 6-DOF (degree of freedom) continuous optimization of the camera placement and a discrete combinatorial optimization of the sequence of inspection poses (images). For each image, all robot configurations (up to eight) are taken into consideration. A novel combined approach is introduced, called blind dynamic particle swarm optimization (BD-PSO), to simultaneously obtain the optimal design for both domains. The objective is to minimize the cycle time of the inspection process, while avoiding any collisions. Even though PSO is vastly used in engineering problems, the novelty of our combinatorial optimization method is in its ability to be used efficiently in traveling salesman problems where the distances between the cities are unknown and subject to change. This highly unpredictable environment is the case of the inspection cell where the cycle time between two images will change for different camera placements.

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Robotized task time scheduling and optimization based on Genetic Algorithms for non redundant industrial manipulators

Cited by 12 publications

References 15 publications

A Lean Robotics Approach to the Scheduling of Robotic Adhesive Dispensing Process

A Lean Robotics Approach to the Scheduling of Robotic Adhesive Dispensing Process

The application of a optimal controller for the flexible joint robot

Simultaneous task placement and sequence optimization in an inspection robotic cell

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