International Journal of Analytical, Experimental and Finite Element Analysis
Volume 13 · Issue 2 · June 2026 · pp. 51–58
Review Article · Peer Reviewed
Received: April 05, 2026 · Accepted: June 10, 2026 · Published: June 27, 2026
Open Access · CC BY 4.0

Development and Analysis of Robotic Manipulators for Manufacturing Automation: A Review of Kinematic Modelling, Dynamic Analysis, and Simulation Approaches

Vivek Verma1,*, Chandra Shekhar Sahu2

1 Research Scholar, Mechanical Engineering Department, CCET, Bhilai-490026, Chhattisgarh, India
2 Assistant Professor, Mechanical Engineering Department, CCET, Bhilai-490026, Chhattisgarh, India

*Correspondence: srinivas.indore@gmail.com

Abstract

Robotic manipulators have become a fundamental component of modern manufacturing automation due to their ability to perform repetitive, precise, and hazardous tasks with high accuracy and reliability. The increasing demand for productivity, quality improvement, and operational flexibility has accelerated research in robotic manipulator design, kinematic modelling, dynamic analysis, control systems, and simulation-based validation. This review paper presents a comprehensive analysis of existing research related to robotic manipulators with particular emphasis on serial-link robotic arms used in manufacturing applications. The literature reveals that kinematic modelling based on the Denavit-Hartenberg (D-H) convention remains the most widely adopted approach for determining manipulator position and orientation, while dynamic analysis techniques are extensively employed for actuator selection and performance evaluation. Recent studies demonstrate the growing use of simulation platforms such as RoboDK, MATLAB, Gazebo, and MSC ADAMS for workspace analysis, trajectory planning, collision detection, and virtual commissioning. Furthermore, advancements in control strategies, machine vision integration, digital twins, and intelligent automation have significantly enhanced the capabilities of robotic systems. The review highlights that six-degree-of-freedom (6-DOF) manipulators provide superior dexterity, workspace accessibility, and end-effector orientation control compared with lower degree-of-freedom configurations. Despite significant progress, challenges remain in developing cost-effective robotic systems that combine high accuracy, structural rigidity, adaptability, and ease of implementation. The findings of this review provide valuable insights into current developments, research gaps, and future directions in robotic manipulator technology for manufacturing automation applications.

Keywords

Robotic Manipulator Manufacturing Automation Industrial Robotics Kinematic Analysis Dynamic Analysis RoboDK MSC ADAMS Trajectory Planning Workspace Analysis 6-DOF Robot

References

  1. Y. Jadeja and B. Pandya, "Design and development of 5-DOF robotic arm manipulators," International Journal of Scientific & Technology Research, vol. 8, no. 11, pp. 2158–2167, 2019.
  2. V. N. Iliukhin, K. B. Mitkovskii, D. A. Bizyanova, and A. A. Akopyan, "The modeling of inverse kinematics for 5-DOF manipulator," Procedia Engineering, vol. 176, pp. 498–505, 2017.
  3. S. Karupusamy, S. Maruthachalam, and B. Veerasamy, "Kinematic modeling and performance analysis of a 5-DoF robot for welding applications," Machines, vol. 12, no. 6, Art. no. 378, 2024.
  4. H. Badkoobehhezaveh, R. Fotouhi, Q. Zhang, and D. Bitner, "Vibration analysis of a 5-DOF long-reach robotic arm," Vibration, vol. 5, no. 3, pp. 585–602, 2022.
  5. N. M. M. Noor, M. S. Sabin, and R. Mahmod, "Performance analysis of a 5-DOF robotic arm by implementing a graphical user interface," Malaysian Journal of Science and Advanced Technology, pp. 158–165, 2023.
  6. W. Guo, R. Li, C. Cao, and Y. Gao, "A novel method of dexterity analysis for a 5-DOF manipulator," Journal of Robotics, vol. 2016, Art. no. 8901820, 2016.
  7. V. Deshpande and P. M. George, "Kinematic modelling and analysis of 5-DOF robotic arm," International Journal of Robotics Research and Development, vol. 4, no. 2, pp. 17–24, 2014.
  8. C. D. Bellicoso, L. R. Buonocore, V. Lippiello, and B. Siciliano, "Design, modeling and control of a 5-DoF light-weight robot arm for aerial manipulation," in Proc. 23rd Mediterranean Conference on Control and Automation (MED), pp. 853–858, 2015.
  9. J. Iqbal, R. U. Islam, and H. Khan, "Modeling and analysis of a 6-DOF robotic arm manipulator," Canadian Journal on Electrical and Electronics Engineering, vol. 3, no. 6, pp. 300–306, 2012.
  10. A. Khatamian, "Solving kinematics problems of a 6-DOF robot manipulator," in International Conference on Computing, 2015.
  11. A. T. Hasan, A. M. S. Hamouda, N. Ismail, and H. M. A. A. Al-Assadi, "An adaptive-learning algorithm to solve the inverse kinematics problem of a 6-DOF serial robot manipulator," Advances in Engineering Software, vol. 37, no. 7, pp. 432–438, 2006.
  12. Y. Pi and X. Wang, "Trajectory tracking control of a 6-DOF hydraulic parallel robot manipulator with uncertain load disturbances," Control Engineering Practice, vol. 19, no. 2, pp. 185–193, 2011.
  13. A. Shahzad, X. Gao, A. Yasin, K. Javed, and S. M. Anwar, "A vision-based path planning and object tracking framework for 6-DOF robotic manipulator," IEEE Access, vol. 8, pp. 203158–203167, 2020.
  14. S. Wang, X. Shao, L. Yang, and N. Liu, "Deep learning aided dynamic parameter identification of 6-DOF robot manipulators," IEEE Access, vol. 8, pp. 138102–138116, 2020.
  15. O. Krakhmalev et al., "Mathematics model for 6-DOF joints manipulation robots," Mathematics, vol. 9, no. 21, Art. no. 2828, 2021.
  16. A. G. Dharmawan et al., "Robot base placement and kinematic evaluation of 6R serial manipulators to achieve collision-free welding of large intersecting cylindrical pipes," in ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Paper V05CT08A010, 2015.
  17. L. Huo and L. Baron, "Kinematic inversion of functionally-redundant serial manipulators: Application to arc-welding," Transactions of the Canadian Society for Mechanical Engineering, vol. 29, no. 4, pp. 679–690, 2005.
  18. L. Huo and L. Baron, "Joint-limits and singularity avoidance in robotic welding," Industrial Robot: An International Journal, vol. 35, no. 5, pp. 456–464, 2008.
  19. A. Gasparetto, P. Boscariol, A. Lanzutti, and R. Vidoni, "Path planning and trajectory planning algorithms: A general overview," in Motion and Operation Planning of Robotic Systems: Background and Practical Approaches, pp. 3–27, 2015.
  20. Á. Madridano, A. Al-Kaff, D. Martín, and A. De La Escalera, "Trajectory planning for multi-robot systems: Methods and applications," Expert Systems with Applications, vol. 173, Art. no. 114660, 2021.
  21. L. Zhang et al., "Dynamic modeling for a 6-DOF robot manipulator based on a centrosymmetric static friction model and whale genetic optimization algorithm," Advances in Engineering Software, vol. 135, Art. no. 102684, 2019.
  22. L. Ding, H. Wu, Y. Yao, and Y. Yang, "Dynamic model identification for 6-DOF industrial robots," Journal of Robotics, vol. 2015, Art. no. 471478, 2015.
  23. L. Li, Y. Huang, and X. Guo, "Kinematics modelling and experimental analysis of a six-joint manipulator," Journal Européen des Systèmes Automatisés, vol. 52, no. 5, 2019.
  24. M. A. Mousa, A. T. Elgohr, and H. A. Khater, "Whale-Based Trajectory Optimization Algorithm for 6-DOF Robotic Arm," Annals of Emerging Technologies in Computing, vol. 8, no. 4, pp. 99–114, 2024.