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An Effective Way of Teaching Fundamentals of Robotics to Undergraduate Students using RoboAnalyzer


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1 KLE Technological University, Vidyanagar, Hubli – 580031, India
     

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Robots are becoming increasingly important as the world continues to evolve. Robots are needed to achieve higher production rates and competitiveness. Many universities have already started to offer robotics courses in response to the growing demand for automation. However, in a traditional classroom teaching method, students find it challenging to apply pure mathematical algorithms in robotics. The lack of visualization of robot modelling affects the students learning interest. It becomes imperative to introduce simulation software in teaching the fundamental concepts of robotics. This paper presents the application of the RoboAnalyzer tool to teach the robotics course at the undergraduate level. The methodology was adopted to complement the theoretical concepts of robotics. In the present study, we collected feedback from the students about the method. The results show that around 76 % strongly agreed that the RoboAnalyzer tool improved learning efficiency, and 74 % strongly agreed that the combination of conventional teaching and the simulation tool is better than the traditional teaching method. RoboAnalyzer was implemented during the academic year 2019 – 2020 and received a positive response.

Keywords

Learning, Modelling, RoboAnalyzer, Robotics, Simulation, Undergraduate.
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  • A technique for the measurement of attitudes. - PsycNET. (n.d.). Retrieved January 20, 2021, from https://psycnet.apa.org/record/1933-01885-001
  • Arnay, R., Andez-aceituno, J. H., & Alez, E. G. (2017). Teaching Kinematics With Interactive Schematics and 3D Models. 1 – 10. https://doi.org/10.1002/cae.21809
  • Arnay, R., Hernández-Aceituno, J., González, E., & Acosta, L. (2017). Teaching kinematics with interactive schematics and 3D models. Computer Applications in Engineering Education, 25(3), 420–429. https://doi.org/https://doi.org/10.1002/cae.2180 9
  • Bhagyalakshmi, H. R., Seshachalam, D., & Lalitha, S. ( 2015 ) . Proceedings of the International Conference on Transformations in Engineering Education. Proceedings of the International Conference on Transformations in Engineering Education, 279–287. https://doi.org/10.1007/978-81-322-1931-6
  • Das, H., Bao, X., Bar-Cohen, Y., Bonitz, R., Lindemann, R. A., Maimone, M., Nesnas, I. A., & Voorhees, C. J. (1999). Robot manipulator technologies for planetary exploration ( N. M. Wereley (Ed.); pp. 175–182). https://doi.org/10.1117/12.350698
  • Denavit, J., & Hartenberg, R. S. (1955). A Kinematic Notation for Lower-Pair Mechanisms Based on Matrices. Journal of Applied Mechanics, 22(2), 215–221. https://doi.org/10.1115/1.4011045
  • Gupta, V., Chittawadigi, R. G., & Saha, S. K. (2017). Robo analyzer: Robot visualization software for robot technicians. ACM International Conference Proceeding Series, Part F1320, 1–5. https://doi.org/10.1145/3132446.3134890
  • Ha, I.-C. (2008). Kinematic parameter calibration method for industrial robot manipulator using the relative position. Journal of Mechanical Science and Technology, 22 (6), 1084–1090. https://doi.org/10.1007/s12206-008-0305-0
  • Hill, B., & Tesar, D. (1996). Rapid analysis manipulator program (RAMP) as a design tool for serial revolute robots. Proceedings - IEEE International Conference on Robotics and Automation, 4(April), 2896–2901. https://doi.org/10.1109/robot.1996.509152
  • Kucuk, S., & Bingul, Z. (2010). An off-line robot simulation toolbox. Computer Applications in Engineering Education, 18(1), 41–52. https://doi.org/10.1002/cae.20236
  • Othayoth, R. S., Chittawadigi, R. G., Joshi, R. P., & Saha, S. K. (2017). Robot kinematics made easy using RoboAnalyzer software. Computer Applications in Engineering Education, 25(5), 669–680. https://doi.org/10.1002/cae.21828
  • Robotics Market Size, Statistics (2021-26) | Industry Trends, Growth - Mordor Intelligence. (n.d.). Retrieved September 6, 2021, from https://www.mordorintelligence.com/industry- reports/robotics-market
  • Sabnis, C., Anjana, N., Talli, A., & Giriyapur, A. C. (2021). Modelling and Simulation of Industrial Robot Using SolidWorks. In Y. V. D. Rao, C. Amarnath, S. P. Regalla, A. Javed, & K. K. Singh (Eds.), Advances in Industrial Machines and Mechanisms (pp. 173–182). Springer Singapore.
  • Sadanand, R., Joshi, R. P., Chittawadigi, R. G., & Saha, S. K. (2016). Virtual experiments for integrated teaching and learning of robot mechanics using roboanalyzer. Lecture Notes in Mechanical Engineering, 59–68. https://doi.org/10.1007/978-81-322-2740-3_7
  • Talli, A., & Giriyapur, A. C. (2021). Kinematic Analysis and Simulation of Industrial Robot Based on RoboAnalyzer. In A. K. Parwani, P. L. Ramkumar, K. Abhishek, & S. K. Yadav (Eds.), Recent Advances in Mechanical Infrastructure (pp. 473–483). Springer Singapore. https://doi.org/10.1007/978-981-33-4176-0_40
  • Talli, A. L., Hussien, A. A., Mohamed, M., & Janvekar, A. A. (2020). Impact of commercially popular machine mechanisms using simulation tool in computer-aided design for improvements in mechanical engineering curriculum. IOP Conference Series: Materials Science and Engineering, 1007(1), 012073. https://doi.org/10.1088/1757-899X/1007/1/012073
  • Talli, A., & Marebal, D. (2021a). End-Effector Position Analysis of SCARA Robot by Using MATLAB. In S. K V & K. G. Rao (Eds.), Smart Sensors Measurements and Instrumentation (pp. 25–33). Springer Singapore.
  • Talli, A., & Marebal, D. (2021b). Kinematic Analysis and Simulation of Robotic Manipulator Based on RoboAnalyzer. In S. K V & K. G. Rao (Eds.), Smart Sensors Measurements and Instrumentation ( pp. 59 – 69 ) . Springer Singapore.
  • Zhou, D., Xie, M., Xuan, P., & Jia, R. (2020). A teaching method for the theory and application of robot kinematics based on MATLAB and V-REP. Computer Applications in Engineering Education, 28(2), 239–253. https://doi.org/https://doi.org/10.1002/cae.22188

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  • An Effective Way of Teaching Fundamentals of Robotics to Undergraduate Students using RoboAnalyzer

Abstract Views: 92  |  PDF Views: 1

Authors

Amit L. Talli
KLE Technological University, Vidyanagar, Hubli – 580031, India
Vinod Kumar V. Meti
KLE Technological University, Vidyanagar, Hubli – 580031, India
Arunkumar C. Giriyapur
KLE Technological University, Vidyanagar, Hubli – 580031, India

Abstract


Robots are becoming increasingly important as the world continues to evolve. Robots are needed to achieve higher production rates and competitiveness. Many universities have already started to offer robotics courses in response to the growing demand for automation. However, in a traditional classroom teaching method, students find it challenging to apply pure mathematical algorithms in robotics. The lack of visualization of robot modelling affects the students learning interest. It becomes imperative to introduce simulation software in teaching the fundamental concepts of robotics. This paper presents the application of the RoboAnalyzer tool to teach the robotics course at the undergraduate level. The methodology was adopted to complement the theoretical concepts of robotics. In the present study, we collected feedback from the students about the method. The results show that around 76 % strongly agreed that the RoboAnalyzer tool improved learning efficiency, and 74 % strongly agreed that the combination of conventional teaching and the simulation tool is better than the traditional teaching method. RoboAnalyzer was implemented during the academic year 2019 – 2020 and received a positive response.

Keywords


Learning, Modelling, RoboAnalyzer, Robotics, Simulation, Undergraduate.

References





DOI: https://doi.org/10.16920/jeet%2F2022%2Fv35i3%2F22094