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

Authors

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

DOI:

https://doi.org/10.16920/jeet/2022/v35i3/22094

Keywords:

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

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.

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Published

2022-01-01

How to Cite

Talli, A. L., Meti, V. K. V., & Giriyapur, A. C. (2022). An Effective Way of Teaching Fundamentals of Robotics to Undergraduate Students using RoboAnalyzer. Journal of Engineering Education Transformations, 113–122. https://doi.org/10.16920/jeet/2022/v35i3/22094

Issue

Volume 35, Issue 3, January 2022

Section

Original Article
Crossref
Scopus
Google Scholar
Europe PMC

References

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