Virtual Simulation and Experimental Verification for 3D-printed Robot Manipulators

  • Jonqlan LinEmail author
  • Kuan-Chung Lai
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 73)


With the rapid growth of 3D printing and associated innovations, this 3D printing fabrication technology is being increasingly used in academic research and industry. Robots can fabricated by 3D printed component parts that are simple, light, and cheap. The main objective of this work is to construct a robot manipulator that is based on 3D printing to meet the demand for low-cost and light structures. Moreover, the SolidWorks CAD model is used with LabVIEW to simulate the given trajectory. Real-time control with dynamic simulation is utilized to verify the kinematic calculations. Users of the various simulation capabilities of the proposed methodology can preview the simulated motion, and perceive and resolve discrepancies between the planned and simulated paths prior to execution of a task. Thus, a simulated system was proposed to assist users in programming the robot manipulator and improve the positioning of its motion. The main advantages of the proposed schemes are the lack of need to mount extra sensors on realistic robot manipulators to measure joint space coordinates, simplifying the hardware. These outcomes can also be used to demonstrate the application of the proposed scheme in an undergraduate robotics course.


Robot Manipulators Kinematics End Effector 3D printing path planning 


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  1. 1.
    R. R. Ma, L. U. Odhner, and A. M. Dollar, “A modular, open-source 3D printed underactuated hand,” in Proceedings of the 2013 IEEE International Conference on Robotics and Automation (ICRA), Boston, Karlsruhe, Germany, May 6-10, 2013, pp. 2737–2743.Google Scholar
  2. 2.
    Z. Kappassov, Y. Khassanov, A. Saudabayev, A. Shintemirov, and H. Varol, “Semi-anthropomorphic 3D printed multigrasp hand for industrial and service robots,” in 2013 IEEE International Conference on Mechatronics and Automation, Kagawa, Japan August 4-7, 2013, pp. 1697–1702.Google Scholar
  3. 3.
    C.-H. Chen, “Mechatronics design of multi-finger robot hand,” in 12th International Conference on Control, Automation and Systems, Jeju Island, Korea, October 17-21, 2012, pp. 1491–1496.Google Scholar
  4. 4.
    G. Carbone, Grasping in Robotics, Mechanisms and Machine Science. Springer, 2012.Google Scholar
  5. 5.
    D. Cafolla, M. Ceccarelli, M.F. Wang, and G. Carbone, “3D printing for feasibility check of mechanism design,” International Journal of Mechanics and Control, Vol. 17, No. 1, pp. 3-12, 2016.Google Scholar
  6. 6.
    K. Khetan, M. Dhaka, and V. Sharma, “Control of mechanisms and robots using LabVIEW and SolidWorks and Arduino,” International Journal of Engineering Research & Technol-ogy (IJERT), Vol. 5, No. 2, pp. 286-289, 2016.Google Scholar
  7. 7.
    G.A. Rathy and A. Balaji, “Arduino based 6DoF robot using LabVIEW,” International Journal of Advance Research, Ideas and Innovations in Technology, Vol. 4, No. 1, pp. 354-358, 2018.Google Scholar
  8. 8.
    J. Lin, Z.M. Li, J. Chang, “Gait motion stabilization tuning approach of biped robot based on augmented reality,” Robotica, Vol. 32, No. 3, pp. 325-339, 2014.CrossRefGoogle Scholar
  9. 9.
    F.L. Lewis, D.M. Dawson, and C.T. Abdallah, Robot Manipulator Control-Theory and Practice, Marcel Dekker, Inc., 2004.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringChien Hsin University of Science and TechnologyTaiwanROC

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