TRAJECTORY OPTIMIZATION OF A SPOT-WELDING ROBOT IN THE JOINT AND CARTESIAN SPACES

Ehsan Sharafian Moghaddam, Maryam Ghassabzadeh Saryazdi, and Afshin Taghvaeipour

References

  1. [1] K. Paes, et al., Energy efficient trajectories for an industrial ABB robot, Procedia Cirp, 15, 2014, 105–110.
  2. [2] H.S. Lim, et al., Particle swarm optimization algorithms with selective differential evolution for AUV path planning, International Journal of Robotics and Automation, 9(2), 2020, 94–112.
  3. [3] C. Hansen, et al., Enhanced approach for energy-efficient trajectory generation of industrial robots, in 2012 IEEE International Conference on Automation Science and Engineering (CASE) (IEEE, 2012).
  4. [4] M. Pellicciari, et al., A method for reducing the energy consumption of pick-and-place industrial robots, Mechatronics, 23(3), 2013, 326–334.
  5. [5] A. Mohammed, et al., Minimizing energy consumption for robot arm movement, Procedia Cirp, 25, 2014, 400–405.
  6. [6] C. Hansen, J. Kotlarski, and T. Ortmaier, Optimal motion planning for energy efficient multi-axis applications, International Journal of Mechatronics and Automation, 4(3), 2014, 147–160.
  7. [7] P. Boscariol and D. Richiedei, Energy-efficient design of multipoint trajectories for Cartesian robots, The International Journal of Advanced Manufacturing Technology, 102(5–8), 2019, 1853–1870.
  8. [8] A. Fahim, M. Tetreault, and D. Necsulescu, Robot trajectory optimisation with dynamic constraints, The International Journal of Advanced Manufacturing Technology, 3(1), 1988, 71–76. 16
  9. [9] Q.-C. Pham, A general, fast, and robust implementation of the time-optimal path parameterization algorithm, IEEE Transactions on Robotics, 30(6), 2014, 1533–1540.
  10. [10] Q. Zhang and M.-Y. Zhao, Minimum time path planning of robotic manipulator in drilling/spot welding tasks, Journal of Computational Design and Engineering, 3(2), 2016, 132–139.
  11. [11] L. Cheng, et al., An improved PSO algorithm for time-optimal trajectory planning of Delta robot in intelligent packaging, The International Journal of Advanced Manufacturing Technology, 107, 2019, 1091–1099.
  12. [12] M. Ghasemi, N. Kashiri, and M. Dardel, Time-optimal trajectory planning of robot manipulators in point-to-point motion using an indirect method, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 226(2), 2012, 473–484.
  13. [13] S. Diao, et al., Task-level time-optimal collision avoidance trajectory planning for grinding manipulators, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233(8), 2019, 2894–2908.
  14. [14] F.J. Abu-Dakka, et al., Statistical evaluation of an evolutionary algorithm for minimum time trajectory planning problem for industrial robots, The International Journal of Advanced Manufacturing Technology, 89(1–4), 2017, 389–406.
  15. [15] G. Wu, W. Zhao, and X. Zhang, Optimum time-energy-jerk trajectory planning for serial robotic manipulators by reparameterized quintic NURBS curves, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 0954406220969734.
  16. [16] H. Liu, X. Lai, and W. Wu, Time-optimal and jerk-continuous trajectory planning for robot manipulators with kinematic constraints, Robotics and Computer-Integrated Manufacturing, 29(2), 2013, 309–317.
  17. [17] J. Huang, et al., Optimal time-jerk trajectory planning for industrial robots, Mechanism and Machine Theory, 121, 2018, 530–544.
  18. [18] R. Saravanan, S. Ramabalan, and C. Balamurugan, Evolutionary optimal trajectory planning for industrial robot with payload constraints, The International Journal of Advanced Manufacturing Technology, 38(11–12), 2008, 1213–1226.
  19. [19] R. Saravanan, S. Ramabalan, and C. Balamurugan, Evolutionary multi-criteria trajectory modeling of industrial robots in the presence of obstacles, Engineering Applications of Artificial Intelligence, 22(2), 2009, 329–342.
  20. [20] H. Fang, S. Ong, and A. Nee, Orientation planning of robot endeffector using augmented reality, The International Journal of Advanced Manufacturing Technology, 67(9–12), 2013, 2033– 2049.
  21. [21] M. Chalvin, et al., Layer-by-layer generation of optimized joint trajectory for multi-axis robotized additive manufacturing of parts of revolution, Robotics and Computer-Integrated Manufacturing, 65, 2020, 101960.
  22. [22] M. Givehchi, A.H. Ng, and L. Wang, Spot-welding sequence planning and optimization using a hybrid rule-based approach and genetic algorithm, Robotics and Computer-Integrated Manufacturing, 27(4), 2011, 714–722.
  23. [23] X. Wang, et al., Double global optimum genetic algorithm– particle swarm optimization-based welding robot path planning, Engineering Optimization, 48(2), 2016, 299–316.
  24. [24] A. Kovács, Integrated task sequencing and path planning for robotic remote laser welding, International Journal of Production Research, 54(4), 2016, 1210–1224.
  25. [25] H. Yang and H. Shao, Distortion-oriented welding path optimization based on elastic net method and genetic algorithm, Journal of Materials Processing Technology, 209(9), 2009, 4407–4412.
  26. [26] X. Wang, Y. Yan, and X. Gu, Spot welding robot path planning using intelligent algorithm, Journal of Manufacturing Processes, 42, 2019, 1–10.
  27. [27] V. Beik, H. Marzbani, and R. Jazar, Welding sequence optimisation in the automotive industry: A review, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233(17), 2019, 5945–5952.
  28. [28] X. Wang, et al., A survey of welding robot intelligent path optimization, Journal of Manufacturing Processes, 63, 2020, 14–23.
  29. [29] K.S. Fu, R. Gonzalez, and C.G. Lee, Robotics: Control Sensing. Vis. (Tata McGraw-Hill Education, 1987).
  30. [30] J.J. Craig, Introduction to Robotics: Mechanics and Control, 3rd edition (Pearson Education India, 2009).
  31. [31] J. Angeles, Fundamentals of Robotic Mechanical Systems (Springer, 2002).
  32. [32] E. Sharafian, A. Taghvaeipour, and M. Ghassabzadeh, Revisiting screw theory-based approaches in the constraint wrench analysis of robotic systems, Robotica, 40(5), 2022, 1406–1430.
  33. [33] S.S. Rao, Engineering Optimization: Theory and Practice (John Wiley & Sons, 2019).
  34. [34] A. Azarfar, Self-tuning fuzzy task space controller for puma 560 robot, International Journal of Robotics and Automation (IJRA), 7(4), 2018, 273–282.
  35. [35] M. Mihola, Z. Zeman, and D. Fojtik, Automation of the design of the cross-section of the manipulator arms profile, International Journal of Robotics and Automation (IRJA), 10(3), 2021, 170.

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