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Journal articles on the topic 'Palletizing robot'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Han, Xiu Shu, and Qiang Tian. "Kinematics Analysis of Palletizing Robot." Advanced Materials Research 915-916 (April 2014): 477–81. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.477.

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Structure analysis on four-bar linkage adopted in four-DOF palletizing robot is done in this paper. In the meanwhile, kinematics analysis of the robot modeled through D-H method, including forward kinematics, inverse kinematics, working space and flexibility, is accomplished. Furthermore, simulation of working space is done by taking advantage of the software MATLAB, and experimental verification of palletizing prototype engine under laboratory environment is also completed, which has demonstrated the feasibility of the robots working space and operational capability.

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2

Wang, Ru Gui, Hua Qiang Yuan, Guang Lin Shi, Hui Qing Chen, Ye Xun Li, and Qing Ming Zou. "Simulation Study of a Novel Controllable Metamorphic Palletizing Robot Mechanism." Advanced Materials Research 634-638 (January 2013): 3788–93. http://dx.doi.org/10.4028/www.scientific.net/amr.634-638.3788.

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The palletizing robot mechanism was investigated in this paper. The concepts of the metamorphic mechanism and controllable mechanism were introduced into the design of palletizing robot mechanism, a novel controllable metamorphic palletizing robot mechanism with geometric limit, which can achieve a variety of flexible action, was designed. The working space of output of the controllable metamorphic palletizing robot mechanism was obtained through simulation study, and the kinematics characteristics of the mechanism were analyzed. The work of this paper provides some references for the practical application of such kind of mechanism in the palletizing robot.

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3

Diao, Jin Xia, Ru Ying Hou, and Hai Dong Hu. "Study on Control System of SCM Palletizing Robot Arm." Applied Mechanics and Materials 742 (March 2015): 546–50. http://dx.doi.org/10.4028/www.scientific.net/amm.742.546.

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This paper studies the joint type palletizing robot arm, using MFC application platform designed a four-axis palletizing robot arm control software. Software in the paper we design has friendly interface, the operator through the input palletizing basic information, and then introduced with the steering gear control and DSP implementation of serial communication programming, and system hardware circuit was designed by palletizing robot arm control system simulation tests were conducted to verify system functions.

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Castro, André Luiz, João Pedro Carvalho de Souza, Luís F. Rocha, and Manuel F. Silva. "AdaptPack Studio: an automated intelligent framework for offline factory programming." Industrial Robot: the international journal of robotics research and application 47, no. 5 (July 17, 2020): 697–704. http://dx.doi.org/10.1108/ir-12-2019-0252.

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Purpose This paper aims to propose an automated framework for agile development and simulation of robotic palletizing cells. An automatic offline programming tool, for a variety of robot brands, is also introduced. Design/methodology/approach This framework, named AdaptPack Studio, offers a custom-built library to assemble virtual models of palletizing cells, quick connect these models by drag and drop, and perform offline programming of robots and factory equipment in short steps. Findings Simulation and real tests performed showed an improvement in the design, development and operation of robotic palletizing systems. The AdaptPack Studio software was tested and evaluated in a pure simulation case and in a real-world scenario. Results have shown to be concise and accurate, with minor model displacement inaccuracies because of differences between the virtual and real models. Research limitations/implications An intuitive drag and drop layout modeling accelerates the design and setup of robotic palletizing cells and automatic offline generation of robot programs. Furthermore, A* based algorithms generate collision-free trajectories, discretized both in the robot joints space and in the Cartesian space. As a consequence, industrial solutions are available for production in record time, increasing the competitiveness of companies using this tool. Originality/value The AdaptPack Studio framework includes, on a single package, the possibility to program, simulate and generate the robot code for four different brands of robots. Furthermore, the application is tailored for palletizing applications and specifically includes the components (Building Blocks) of a particular company, which allows a very fast development of new solutions. Furthermore, with the inclusion of the Trajectory Planner, it is possible to automatically develop robot trajectories without collisions.

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Tao, Yong, Fang Chen, and Hegen Xiong. "Kinematics and Workspace of a 4-DOF Hybrid Palletizing Robot." Advances in Mechanical Engineering 6 (January 1, 2014): 125973. http://dx.doi.org/10.1155/2014/125973.

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We presented the kinematical analysis of a 4-DOF hybrid palletizing robot. The palletizing robot structure was proposed and the arm model of the robot was presented. The kinematical analysis of the end robotic manipulator was given. As a result, the position, velocity, and acceleration curves as well as the maximum workspace were demonstrated by simulation in Matlab. This study would be useful for the kinematical characteristics of the 4-DOF palletizing robot in space.

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Wang, Jianqiang, Yanmin Zhang, and Xintong Liu. "Control system of 4-DOF palletizing robot based on improved R control multi-objective trajectory planning." Advances in Mechanical Engineering 13, no. 4 (April 2021): 168781402110027. http://dx.doi.org/10.1177/16878140211002705.

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To realize efficient palletizing robot trajectory planning and ensure ultimate robot control system universality and extensibility, the B-spline trajectory planning algorithm is used to establish a palletizing robot control system and the system is tested and analyzed. Simultaneously, to improve trajectory planning speeds, R control trajectory planning is used. Through improved algorithm design, a trajectory interpolation algorithm is established. The robot control system is based on R-dominated multi-objective trajectory planning. System stack function testing and system accuracy testing are conducted in a production environment. During palletizing function testing, the system’s single-step code packet time is stable at approximately 5.8 s and the average evolutionary algebra for each layer ranges between 32.49 and 45.66, which can save trajectory planning time. During system accuracy testing, the palletizing robot system’s repeated positioning accuracy is tested. The repeated positioning accuracy error is currently 10−1 mm and is mainly caused by friction and the machining process. By studying the control system of a four-degrees-of-freedom (4-DOF) palletizing robot based on the trajectory planning algorithm, the design predictions and effects are realized, thus providing a reference for more efficient future palletizing robot design. Although the working process still has some shortcomings, the research has major practical significance.

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7

Sonoda, Akikazu. "Development of robots for selling. Palletizing Robot." Journal of the Robotics Society of Japan 13, no. 6 (1995): 748–51. http://dx.doi.org/10.7210/jrsj.13.748.

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8

He, Ying, Jiangping Mei, Zhiwei Fang, Fan Zhang, and Yanqin Zhao. "Minimum Energy Trajectory Optimization for Driving Systems of Palletizing Robot Joints." Mathematical Problems in Engineering 2018 (December 3, 2018): 1–26. http://dx.doi.org/10.1155/2018/7247093.

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Palletizing robot is widely used in logistics operation. At present, people pay attention to not only the loading capacity and working efficiency of palletizing robots, but also the energy consumption in their working process. This paper takes MD1200-YJ palletizing robot as the research object and studies the problem of low energy consumption optimization of joint driving system from the perspective of trajectory optimization. Firstly, a multifactor dynamic model of palletizing robot is established based on the conventional inverse rigid body dynamic model of the robot, the Stribeck friction model and the spring balance torque model. And then based on joint torque, friction torque, motion parameter, and joule’s law, the useful work model, thermal loss model of joint motor, friction energy consumption model of joint system, and total energy consumption model of palletizing robot are established, and through simulation and experiment, the correctness of the multifactor dynamic model and energy consumption model is verified. Secondly, based on the Fourier series approximation method to construct the joint trajectory expression, the minimum total energy consumption as the optimization objective, with coefficients of Fourier series as optimization variables, the motion parameters of initial and final position, and running time constant as constraint conditions, the genetic algorithm is used to solve the optimization problem. Finally, through the simulation analysis the optimized Fourier series motion law and the 3-4-5 polynomial motion law are comprehensively evaluated to verify the effectiveness of the optimization method. Moreover, it provides the theoretical basis for the follow-up research and points out the direction of improvement.

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9

Li, Zhong Ming, and Wei Liu. "Research on Computer-Aided Conceptual Design of Palletizing Robot." Advanced Materials Research 201-203 (February 2011): 80–84. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.80.

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The method of computer-aided design oriented to requirement configuration is present for the palletizing robot. Index of design requirement is quantified hierarchically. The whole function of palletizing robot is decomposed according to the working plane. The various kinds of attributes of function carriers are digitized and the consistency is kept with the index of design requirement. Optimal design scheme can be gotten by the computation of evaluation function constructed in this paper. The software of computer-aided conceptual design for palletizing robot is developed.

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10

Meiyu Lv, Jinquan Li, Binglei Duan, and Rong Fu. "A Palletizing Robot Dynamics Analysis." International Journal of Advancements in Computing Technology 4, no. 11 (June 30, 2012): 398–404. http://dx.doi.org/10.4156/ijact.vol4.issue11.43.

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11

Zhu, Su Xia, Quan Sheng Lei, and Jin Quan Li. "Design of the Calculative Software of the Dynamics Analysis on a Type Palletizing Robot on Matlab." Advanced Materials Research 630 (December 2012): 222–25. http://dx.doi.org/10.4028/www.scientific.net/amr.630.222.

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For a palletizing robot, its dynamic statics equations are established. The calculative software of the palletizing robot’s kinematic model is designed and established by using Matlab. The force condition of key axes and key parts in the process of palletizing robot motion with the position and orientation change can be got by the calculative software, and the concrete applications of the calculative software are introduced by an example. The calculative software provides convenience for the selection and check of motor and reducer.

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12

Yu, Hanwen, Qun Sun, Chong Wang, and Yongjun Zhao. "Frequency response analysis of heavy-load palletizing robot considering elastic deformation." Science Progress 103, no. 1 (December 12, 2019): 003685041989385. http://dx.doi.org/10.1177/0036850419893856.

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For the palletizing robot’s operating characteristics of high speed, high acceleration, and heavy load, it is necessary to make a research on the structure optimization focusing on the vibration characteristics according to the mechanical and dynamic performance analysis. This article first introduces the mechanical feature and working principle of high-speed and heavy-load robot palletizer. Kinematics analysis is carried out by using D-H parameter method, which obtains positive kinematics solution and workspace. Jacobian matrix is deduced, and the relationship between joint space and Cartesian space is established. Second, for the reason that joint flexibility has a great influence on the vibration performance of the robot, a rigid–flexible coupling dynamic model is established based on the simplified model of the flexible reducer and Lagrange’s second equation to describe the joint flexibility of high-speed and heavy-load palletizing robot, and the vibration modes of the robot are analyzed. The influence of different joint stiffness on the frequency response of the system reveals the inherent properties of the heavy-load palletizing robot, which provides a theoretical basis for the optimal design and control of the heavy-load palletizing robot.

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Liu, Zhen Yu, and Ji You. "Research on the 6DOF Robot Simulation and Modeling." Advanced Materials Research 734-737 (August 2013): 2676–80. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.2676.

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Visual simulation technology is still playing an important role in the robot design and research field. This article establishes a robot palletizing simulation system visualization based on VisualC++ and OpenGL programming tool. This system synthetically evaluates the man-machine interface, the robot three-dimensional modeling and environmental modeling. In addition, modeling of robot is divided into two parts static modeling and kinematic modeling. Finally, for the purpose of the robot movement trajectory and collision avoidance behavior in the palletizing system, it provides numerous theoretical and practical bases.

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14

Lv, Mei Yu, Jin Quan Li, Bing Lei Duan, and Rong Fu. "The Dynamics Analysis on a Type Palletizing Robot." Applied Mechanics and Materials 157-158 (February 2012): 982–86. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.982.

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For a palletizing robot, based on analysis of structural and force,taking the theory of D'Alembert to transform the instantaneous inertial force system into a static system and the Kineto-static mathematical model for the robots is established through the method of Kineto-static. At last, via solving the Kineto-static mathematical model by use of the Matlab，the model is verified by calculating and analysing an example. This model is applicable to dynamic analysis on the robots with similar configuration and the results based on the parameter variation is also applicable to this kind of robot’s design, checking, and kinetic control.

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15

Li, Jin Quan, Su Xia Zhu, and Quan Sheng Lei. "The Dynamics Analysis on a Type Palletizing Robot." Advanced Materials Research 479-481 (February 2012): 725–28. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.725.

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Based on a palletizing robot, its kineto-static model is created via d'alembert's principle and dynamic statics method. The force of key components with its posture change will be obtained by use of the Matlab. This model is applicable to dynamic analysis on the robots with similar configuration and the results based on the parameter variation is also applicable to this kind of robot’s design, checking and kinetic control.

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16

Zhao, Yu Gang, Hao Sun, and Tian Ci Cai. "The Structural Design and Kinematic Analysis of Palletizing Robot." Applied Mechanics and Materials 397-400 (September 2013): 1568–73. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.1568.

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For a warehousing company's requirements, a four-DOF parallel palletizing robot is designed and a new method used to calculate the main structure and analyze kinematics is proposed. The palletizing trajectory is planned according to industrial sites requirements. Finally, based on the results of structural analysis, the workspace is simulated by Matlab. The results suggest that the robot designed is fully content with the requirements of industrial field.

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17

Liang, Lin Jian, and Xue Guan Gao. "Palletizing Robot Dynamic Analysis and Simulation." Applied Mechanics and Materials 598 (July 2014): 623–26. http://dx.doi.org/10.4028/www.scientific.net/amm.598.623.

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Selection of drive components and determination of dynamics properties are extremely important technical components for overall design of palletizing robot. As an example, the paper firstly introduce how to establish mathematical model and finish kinematics analysis. Based on the previous work, MATLAB scripts are written through the use of Newton-Euler Method to analyze and calculate dynamic analysis, after which the parameters of dynamics are obtained. Then the dynamic behavior is studied by multi-body system simulation using ADAMS software to testify the former analysis in MATLAB. Lastly, two speed trajectory algorithm were adopted to simulate for the same working condition, in an attempt to investigate the difference in their dynamic behavior and provide a reliable theoretical basis for optimal control method.

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18

Carvalho de Souza, João Pedro, André Luiz Castro, Luís F. Rocha, and Manuel F. Silva. "AdaptPack studio translator: translating offline programming to real palletizing robots." Industrial Robot: the international journal of robotics research and application 47, no. 5 (July 29, 2020): 713–21. http://dx.doi.org/10.1108/ir-12-2019-0253.

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Purpose This paper aims to propose a translation library capable of generating robots proprietary code after their offline programming has been performed in a software application, named AdaptPack Studio, running over a robot simulation and offline programming software package. Design/methodology/approach The translation library, named AdaptPack Studio Translator, is capable to generate proprietary code for the Asea Brown Boveri, FANUC, Keller und Knappich Augsburg and Yaskawa Motoman robot brands, after their offline programming has been performed in the AdaptPack Studio application. Findings Simulation and real tests were performed showing an improvement in the creation, operation, modularity and flexibility of new robotic palletizing systems. In particular, it was verified that the time needed to perform these tasks significantly decreased. Practical implications The design and setup of robotics palletizing systems are facilitated by an intuitive offline programming system and by a simple export command to the real robot, independent of its brand. In this way, industrial solutions can be developed faster, in this way, making companies more competitive. Originality/value The effort to build a robotic palletizing system is reduced by an intuitive offline programming system (AdaptPack Studio) and the capability to export command to the real robot using the AdaptPack Studio Translator. As a result, companies have an increase in competitiveness with a fast design framework. Furthermore, and to the best of the author’s knowledge, there is also no scientific publication formalizing and describing how to build the translators for industrial robot simulation and offline programming software packages, being this a pioneer publication in this area.

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Liu, Lei, Guo Dong Wang, Rui Yi Xiao, and Ru Sheng Wang. "Optimization of the Method to Palletize Firebricks by Robot Based on Pareto Genetic Algorithm." Applied Mechanics and Materials 620 (August 2014): 337–42. http://dx.doi.org/10.4028/www.scientific.net/amm.620.337.

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This paper discusses some specific problems in the process of palletizing firebrick by industrial robot, and then discusses the optimization of the palletizing method by proposing two optimization goals. First, a mathematical model containing two objectives for the optimization is constructed according to the palletizing problem. Then, in order to solve this optimization model, this paper uses the Pareto genetic algorithm, and states the procedure of this method in detail. Finally, an example is taken to prove the effect of the optimization model by using MATLAB.

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20

Xu, Yong Pan, and Ying Hong. "Time Optimal Path Planning of Palletizing Robot." Applied Mechanics and Materials 470 (December 2013): 658–62. http://dx.doi.org/10.4028/www.scientific.net/amm.470.658.

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In order to improve the efficiency and reduce the vibration of Palletizing Robot, a new optimal trajectory planning algorithm is proposed. This algorithm is applied to the trajectory planning of Palletizing manipulators. The S-shape acceleration and deceleration curve is adopted to interpolate joint position sequences. Considering constraints of joint velocities, accelerations and jerks, the traveling time of the manipulator is minimized. The joint interpolation confined by deviation is used to approximate the straight path, and the deviation is decreased significantly by adding only small number of knots. Traveling time is solved by using quintic polynomial programming strategy between the knots, and then time-jerk optimal trajectories which satisfy constraints are planned. The results show that the method can avoid the problem of manipulator singular points and improve the palletize efficiency.

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Liu, Yanjie, Le Liang, Haijun Han, and Shijie Zhang. "A Method of Energy-Optimal Trajectory Planning for Palletizing Robot." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/5862457.

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In this work, the energy-optimal trajectory planning and initial pick point searching problem for palletizing robot with high load capacity and high speed are studied, in which the pick point and place point of the robot are fixed to a desired location for each single task. These optimization problems have been transformed to ternary functional extremum problem and parameters optimal selection problem in which the performance index of the problems the rigid-flexible coupling dynamics model of the robot, and the constraint and boundary conditions of the robot are given. The fourth-order Runge-Kutta method, multiple shooting method, and traversing method are used to solve these specific mathematical problems. The effectiveness of the trajectory planning method is validated by the experimental and simulating results; thus the research work done here provides important support for subsequent palletizing robot research.

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Srasrisom, Khongsak, Pramot Srinoi, Seksan Chaijit, and Fasai Wiwatwongwana. "Improvement of an automated CAN packaging system based on modeling and analysis approach through robot simulation tools." IAES International Journal of Robotics and Automation (IJRA) 9, no. 3 (September 1, 2020): 178. http://dx.doi.org/10.11591/ijra.v9i3.pp178-189.

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<p>The application of robot simulation tools for modelling, analysis and improvement of existing industrial manufacturing cells is presented with reference to the development and implementation of the digital factory concept. A real case study of aerosol can packaging and palletizing cell scenario in the metal can manufacturing industry for containing food and products is used as a reference in this paper. For studying manual aerosol can packaging and palletizing conditions of the worker, a detailed time and motion analysis of workers is carried out. On the basis of cycle time analysis results, an alternative to the manual operation, a more sophisticated automated packaging and palletizing system is suggested. A proposed system which uses a robotic manipulator including automated production machine and devices are also developed and tested. The viability of the suggested system is checked through simulation and cycle time analysis. A fuzzy logic software, MATLAB is employed in order to analyse the actual system’s behaviour in terms of productivity, and utilization of the available facilities. The 3D simulation software, DELMIA V6 is additionally employed to perform a detailed design phase of the manufacturing cell. From the simulation results, this gives a rough approximation that the production of one robotized manipulator, and automated packaging and palletizing cell is equal to the production of about 4.3 manual packaging and palletizing cells. These results have shown the need for change to automation in the aerosol can packaging and palletizing system.</p>

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23

Baláž, Vladimír. "Palette - Assembly Cell with Robot SCARA." Applied Mechanics and Materials 613 (August 2014): 292–98. http://dx.doi.org/10.4028/www.scientific.net/amm.613.292.

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The article describes a basic structure of handling operations for palletization. Also contains a ways to organize objects on pallets and determination of programmable palletizing points. It explains the principle of modular structures with designed workstation.

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24

Li, Zhong Ming, Wei Liu, and Jin Quan Li. "Integration System of Intelligent Design and Modeling Oriented to Requirement Configuration for Palletizing Robot." Applied Mechanics and Materials 120 (October 2011): 154–58. http://dx.doi.org/10.4028/www.scientific.net/amm.120.154.

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The method of computer-aided conceptual design is present for the palletizing robot. Intelligent design and modeling are integrated in this system. Index of design requirement is quantified hierarchically and various kinds of attributes of function carriers are digitized. The analytic hierarchy process is used for reference to check the consistency of quantitative value of attributes and the rationality is ensured. Design requirement can be configured flexibly in man-computer interaction module and the optimal scheme is generated automatically according as the computation of evaluation function. Model file of virtual prototype for ADAMS can also be generated automatically by auto-modeling module. Software system of computer-aided conceptual design for palletizing robot is developed based the method mentioned above.

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Yu, S.-N., S.-J. Lim, C.-S. Han, M.-K. Kang, and S.-R. Kim. "Development of a robot simulator using a modified trajectory generation algorithm oriented towards the palletizing task." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 222, no. 7 (July 1, 2008): 1253–64. http://dx.doi.org/10.1243/09544062jmes641.

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Palletizing tasks are necessary to promote the efficient storage and shipping of boxed products. These tasks, however, involve some of the most monotonous and physically demanding tasks in the factory. Thus, many types of robot palletizing systems have been developed, although many robot motion commands still depend on the teach pendant. That is, the operator inputs the motion command lines one by one. This is very troublesome and, most importantly, the user must know how to type the code. To solve these problems, this paper proposes a combination of an optimized pallet pattern generation algorithm, an industrial robot simulator, and a modified trajectory optimization algorithm. To integrate these modules and to define the position of the boxes, the robot and its peripherals, as well as the system layout and its coordinates, were defined. Finally, the proposed path generation algorithm, the ‘overlap method’, was tested in the designed offline programming S/W, and its computational efficiency was proven.

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Chen, Youdong, Ling Li, and Wei Tang. "An off-line programming system for palletizing robot." International Journal of Advanced Robotic Systems 13, no. 5 (September 8, 2016): 172988141665774. http://dx.doi.org/10.1177/1729881416657744.

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Xu, Wei, Si Cong Yuan, and Ying Hui Cao. "Research on Yinma Palletizing Robot Motion Feasibility Based on MATLAB-Robotics Toolbox." Applied Mechanics and Materials 543-547 (March 2014): 1296–300. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1296.

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To realize the working requirements of silver Horse Companys palletizing robot. Firstly, MATLAB software was used to establish mathematical model of the robot, and it calculated the robot workspace and generated workspace figures; it can also verify whether the predetermined grip and place points satisfy a predetermined workspace. Based on this analysis inverse kinematic of the robot, each joint angle from gripping position to place position was calculated. Polynomial interpolation method is applied to calculate the each joint trajectory; Finally, Robotics Toolbox is used to simulate the robot kinematics, and get the trajectory of the robot terminate executive body; each joint position, velocity trajectory can ensure no sudden change occurs in joint angular. In this paper, robot inverse kinematics completed robot end actuator position and posture transformation from the Cartesian space to the joint space. In order to make the joint space path planning possible, this will greatly simplify the calculation. And the joint space and Cartesian coordinate space does not exist a continuous relation, thus eliminating the singularity problem.

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Zhao, Yong Guo, Yong Fei Xiao, and Tie Chen. "Kinematics Analysis for a 4-DOF Palletizing Robot Manipulator." Applied Mechanics and Materials 313-314 (March 2013): 937–40. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.937.

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In order to meet theneeds of high-speedpalletizing inlogistics automation industry, a 4 d4-DOF palletizingrobot manipulatorwas designed. Inthis paper,focusing on kinematic analysis, forward kinematics modeland inverse kinematics were introduced in detail.

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Warnecke, H. J., and K. Baumeister. "Order-picking industrial robot." Robotica 8, no. 1 (January 1990): 37–45. http://dx.doi.org/10.1017/s026357470000730x.

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SUMMARYOrder-picking, i.e. arranging work-pieces of different types on a pallet, which is nowadays often carried out manually, will in future be more and more automated for economic reasons. The industrial robot in combination with an intelligent gripper, a supporting palletizing and order-picking software and a suitably designed periphery will permit fully automated order-picking. The Fraunhofer-Institute for Manufacturing Engineering and Automation (F.R.G.) has developed such a system which takes advantage of the arrangement of the work-pieces in the compartment stack and simultaneously grips the work-pieces that are then arranged in a pattern on a pallet.

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Šidlovská, Ľuboslava. "Selection of Models for Research Workplace." Applied Mechanics and Materials 844 (July 2016): 102–5. http://dx.doi.org/10.4028/www.scientific.net/amm.844.102.

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A research center that is used to verify the identification of selected algorithms and methods for secure grip of components by industrial robot was created within the project of applied research at the department. It contributes to enhancing the effectiveness of palletizing - assembly cells.

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Li, Jin Quan, Su Xia Zhu, and Quan Sheng Lei. "Analysis on Influence Coefficient of Workspace of a Configuration Palletizing Robot." Advanced Materials Research 479-481 (February 2012): 2389–92. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.2389.

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Based on a configuration palletizing robot, its kinematic models were built by using D-H method. Solver program and interface are developed by using Matlab software and numerical method. Then, its three-dimensional workspace drawing and sectional drawing are derived in the context of any number value of key parameter. Based on that, in order to analyze the influence of workspace caused by the change of robot structure parameters quantificational, the concept of workspace influence coefficient is introduced. The influence coefficient curves of the length and rotation angle of connecting rods on workspace are calculated. Those reveal the influence extent and influence trend caused by the change of unit length of the robot structure parameters and provide a basis for robot’s structural optimization from kinematic view.

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Li, Jin Quan, Wei Ren, and Su Xia Zhu. "Quantitative Analysis on Workspace Influence of Robot Structural Parameters." Applied Mechanics and Materials 536-537 (April 2014): 949–52. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.949.

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As the research object to IRB660 palletizing robot, its workspace is calculated. On this basis, the concept of workspace area influence coefficient and direction influence coefficient is brought forward and defined. The relationship map of coordinate plane projection area caused by robot structural parameters is drawn by MATLAB GUI programming, and the influence degree and influence direction caused by the change of unit length of the robot structural parameters is calculated precisely and quantified, which will provide a solid basis for its structural optimization and design from kinematic view.

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Urbonas, Klaidas, Sergejus Rimovskis, and Arturas Sabaliauskas. "Analysis of Strength of VDA 4500 Type Container Palletizing Robot Manipulator Gripper." Jaunųjų mokslininkų darbai 51, no. 1 (August 31, 2021): 111–19. http://dx.doi.org/10.15388/jmd.2021.11.

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An analysis of the company's existing palletizing process has been performed, and the most appropriate method of process modernization has been selected accordingly. Also, a robot was selected according to the type of container to be palletized and its weight. A prototype of a robot manipulator gripper has been designed. The load calculation of the gripper levers was performed, the pneumatic cylinders for the lever control were selected. Lever strength analysis was also performed. The gripper mass was determined.

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Kunpeng, Ning, Li Dongbo, He Fei, Tong Yifei, and Zhang Kai. "Research on the Structural Optimization Design of ER300 Palletizing Robot." Open Automation and Control Systems Journal 7, no. 1 (September 30, 2015): 1405–14. http://dx.doi.org/10.2174/1874444301507011405.

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Li, Fangyi, Shilei Ma, Yang He, and Qingzhong Xu. "Mechanism design of palletizing robot based on translating cam principle." Transactions of Tianjin University 18, no. 6 (December 2012): 465–70. http://dx.doi.org/10.1007/s12209-012-1887-2.

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Krug, Robert, Todor Stoyanov, Vinicio Tincani, Henrik Andreasson, Rafael Mosberger, Gualtiero Fantoni, and Achim J. Lilienthal. "The Next Step in Robot Commissioning: Autonomous Picking and Palletizing." IEEE Robotics and Automation Letters 1, no. 1 (January 2016): 546–53. http://dx.doi.org/10.1109/lra.2016.2519944.

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Zi, Bin, Bingyao Wang, and Daoming Wang. "Design and analysis of a novel cable-actuated palletizing robot." International Journal of Advanced Robotic Systems 14, no. 6 (November 2017): 172988141774108. http://dx.doi.org/10.1177/1729881417741084.

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Chen, Huiqing, Ningqi Zhou, and Rugui Wang. "Design and Dimensional Optimization of a Controllable Metamorphic Palletizing Robot." IEEE Access 8 (2020): 123061–74. http://dx.doi.org/10.1109/access.2020.3007707.

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Li, Jin-quan, Rui Zhang, Qi Guan, Fang Cui, and Kuan Chen. "Analysis on the workspace of palletizing robot based on AutoCAD." IOP Conference Series: Materials Science and Engineering 241 (October 2017): 012018. http://dx.doi.org/10.1088/1757-899x/241/1/012018.

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Koukolová, Lucia. "Variability of Workplace Structures with SCARA Robot for Palletizing and Sorting Objects." Applied Mechanics and Materials 613 (August 2014): 299–303. http://dx.doi.org/10.4028/www.scientific.net/amm.613.299.

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This paper describes the design of palletizing workplace on a modular basis which can be reconfigured. First part of the paper is devoted to the definition of reconfigurable manufacturing systems and its core characteristics. Second part of the paper describes the workplace for palletization on a modular basis, its parts and possibilities of reconfiguration.

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Wang, Xin, and Jing Wang. "Research on Electric Vehicle Charging & Battery Swapping Robot System." Applied Mechanics and Materials 494-495 (February 2014): 20–23. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.20.

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Electric Vehicle will be the main trend of automotive industry in the future. The purpose of the scheme is to provide electric vehicle charging & battery swapping robot system based on palletizing robot for solving the double pressure of resources and environment problems. In this paper, the battery swapping robot is the key of the system, and will be mainly discussed from the mechanical body and electrical control part in detail. Experiments show that the positioning precision during the battery swapping process is high, the relative displacement is small, the position is accuracy, and the swapping speed is moderate.

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Yao, Meng, Bao Ling Han, Qing Sheng Luo, Ting Qiang Lv, and Jia Xu. "A New Teaching Method in a Kind of Industrial Palletizing Robot." Advanced Materials Research 383-390 (November 2011): 584–90. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.584.

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A new method of teaching method has been proposed for the palletizing robot. The principle of the method has been elaborated and a new algorithm about this method has been proposed. The servo control system is used to carry out this method. The practicability and conciseness of this method has also been analyzed through the simulation with soft Admas and real experiments. The results of simulation and real experiments prove that this novel method is feasible and can meet the practically industrial demands.

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WANG, Rugui. "Dynamic Stability Study of a Novel Controllable Metamorphic Palletizing Robot Mechanism." Journal of Mechanical Engineering 53, no. 13 (2017): 39. http://dx.doi.org/10.3901/jme.2017.13.039.

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Wang, Ru Gui, Hui Qing Chen, Ye Xun Li, Qing Ming Zou, and Hua Qiang Yuan. "Internal Impact Analysis of a Novel Controllable Metamorphic Palletizing Robot Mechanism." Applied Mechanics and Materials 551 (May 2014): 481–86. http://dx.doi.org/10.4028/www.scientific.net/amm.551.481.

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Metamorphic mechanism would result in impact when it was changing from one configuration to the next. As a result, the internal impact force would bring about great vibration for the mechanism. What was more, it would make the mechanism be unstable. Therefore, the internal impact for metamorphic mechanism was expected to be analyzed. The controllable metamorphic palletizing robot mechanism was investigated in this paper. First of all, its kinetic characteristic was analyzed. In addition, the total momentum of the link which suffered impact was calculated. Furthermore, the impact force of the link was known. Finally, the relationship between the impact time when the mechanism was changing configuration and the momentum of the link was described through example study. The work of this paper provides some references for stability study of metamorphic mechanism.

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Zhu, Su Xia, Quan Sheng Lei, and Jin Quan Li. "Analysis on Influence Coefficient of Workspace about a Configuration Palletizing Robot." Advanced Materials Research 630 (December 2012): 321–24. http://dx.doi.org/10.4028/www.scientific.net/amr.630.321.

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A Case Study of IRB460 configuration palletizing robot of ABB. On one hand, we use D-H method to set up its kinematics model, and adopt numerical method to get its three-dimensional workspace maps and coordinate plane projection maps by using Matlab programming. On the other hand, this paper introduces the concept of workspace influence coefficient, which provides an important basis for the optimized design of its structure, to discuss in detail and make a quantitative analysis of the influence degree and influence trend caused by the change of rod length and angle parameters.

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Shu, Yang, and Kaiming Li. "Design of a New Type of Hybrid Heavy Load Palletizing Robot." IOP Conference Series: Materials Science and Engineering 740 (March 17, 2020): 012042. http://dx.doi.org/10.1088/1757-899x/740/1/012042.

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Zoghlami, Firas, Philip Kurrek, Mark Jocas, Giovanni Masala, and Vahid Salehi. "Usage Identification of Anomaly Detection in an Industrial Context." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 3761–70. http://dx.doi.org/10.1017/dsi.2019.383.

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AbstractThe use of flexible and autonomous robotics systems is the solution for the automation task of the production and intra-logistics environments. This dynamic context requires the robot to be aware of its surroundings through the whole task, also after accomplishing the gripping action. We present an anomaly detection approach based on unsupervised learning and reconstruction fidelity of image data. We design our method to enhance the dynamic environment perception of robotics systems and apply it in a palletizing robot, in order to perceive and detect changes to its surrounding and process after the gripping step. Our proposed approach achieves the performance targeted by the considered industrial requirements.

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Holubek, Radovan, Daynier Rolando Delgado Sobrino, Peter Košťál, and Jarmila Oravcová. "Incorporation, Programming and Use of an ABB Robot for the Operations of Palletizing and Despalletizing at an Academic-Research Oriented Intelligent Manufacturing Cell." Applied Mechanics and Materials 309 (February 2013): 62–68. http://dx.doi.org/10.4028/www.scientific.net/amm.309.62.

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Because of the need of expanding the intelligence, functionalities and capabilities of an IMC at the IPSAM, in this paper the authors summarize the process of inserting, programming and using a new ABB robot (IRB 120) for the activities of palletizing and despalletizing of parts and pieces in such a cell. Together with all this, it is also presented a description of the material flow where this robot will be part of so as to better understand its role and interconnections with the remaining devices of the cell. Furthermore, through all the paper several graphics and technical specifications are also given for the sake of comprehension.

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Zheng, Hong. "Development and Application of Simulation Control System of Logistics Palletizing Robot Manipulator." Journal of Physics: Conference Series 1881, no. 3 (April 1, 2021): 032086. http://dx.doi.org/10.1088/1742-6596/1881/3/032086.

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Trujillo, F. J., R. Dorado, R. López-García, and Lorenzo Sevilla. "Design and Implementation of a Practical Learning Methodology for the Control and Programming of a Flexible Manufacturing Cell." Materials Science Forum 903 (August 2017): 1–8. http://dx.doi.org/10.4028/www.scientific.net/msf.903.1.

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In this work, the design and implementation of a set of practical activities in a flexible manufacturing cell is exposed, as well as the teaching methodology used, both in programming cell manually (guided programming) or remotely (off-line, using simulation software). These activities have been designed for a progressive learning, starting with simple tasks, like programming a robot arm movement between different points in space, and concluding with more complex tasks, such as programming of palletizing cycles or manufacturing a part by machining.

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