Integration of Artificial Intelligence into Operations and Monitoring of 3R Manipulator

Authors

  • S. Nithya Devi Assistant Professor, Department of ECE, Dr.N.G.P. Institute of Technology, Coimbatore, India
  • K. Lakshmi Prabha Principal, T.S.Srinivasan Center for Polytechnic and Advanced Training, Vanagaram, Chennai, India
  • C. Ezhilazhagan Assistant Professor, Department of ECE, Vel Tech Rangarajan Dr.Sagunthala R & D Institute of Science and Technology, Chennai, India
  • S. A. Sivakumar Associate Professor, Department of ECE, Dr.N.G.P. Institute of Technology, Coimbatore, India
  • R. Tamilarasu Associate Professor, Department of CSE, Nandha College of Technology, Tamilnadu, India
  • S. Senthil Kumar Assistant Professor, Department of AIDS, Sri Krishna College of Engineering and Technology, Coimbatore, India
  • Jambi Ratna Raja Kumar Associate Professor, Computer Engineering department, Sr.No.25/1/3, Balewadi, Pune -411045, Genba Sopanrao Moze College of Engineering

Keywords:

Artificial Intelligence, Servo, Labview, NodeMCU, Velocity

Abstract

Artificial intelligence plays a pivotal role in the functionality and operation of robotic arms. Robotic arms are mechanical devices designed or characterized to resemble or mimic human form or behavior. In the context you provided, an anthropomorphic robot arm would be designed to replicate the movements and actions of a human arm., enabling them adapt to various tasks or functions such as assembly, pick-and-place operations, welding, painting, and more. AI enhances the capabilities of robotic arms by providing them with intelligent decision-making, adaptability, and autonomy. There is considerable enthusiasm surrounding the automation of industry, libraries, and warehouses, especially for pick-and-place operations involving products stored in shelving units. The main goal of this study is to gain command over a robotic arm by utilizing NI myRIO in industrial environments. the manipulation and transportation of objects traditionally rely on human labor. To overcome this challenge, we propose employing a robotic arm with a sufficient number of degrees of freedom. For the realization of the aforementioned tasks, the National Instruments myRIO model is employed, equipped with a diverse range of sensors, actuators, and displays. Serving as the control unit of this system, myRIO facilitates seamless operation. Three modules are provided; the initial module sets up a timer to produce a signal that operates the servo motors. The second module maneuvers the servo motor to a particular angular orientation at a steady angular speed. Lastly, the third module is employed to govern the servo motor in tracking any desired angular position, velocity, and acceleration.

Downloads

Download data is not yet available.

References

Sunny Amatya , Somrak Petchartee, “Real time kinect based robotic arm manipulation with five degree of freedom,” IEEE Asian conf. on Defence Technology 2015.

C.N. Thai, M. Paulishen , “Using robotics bioloid systems for instructional robotics,” IEEE 2011.

Marc Peter Deisenroth, Dieter Fox, and Carl Edward Rasmussen, “Gaussian Processes for Data-Efficient Learning in Robotics and Control” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 37, no. 2, Feb. 2015.

Jing Fu Jin, Shang Li Yuen, Young Hoon Lee, Chang Hyun Jun, Youngji Brigid Kim, Sungon Lee, Bum-Jae You,, and Nakju Lett Doh, “Minimal Grasper: A practical robotic grasper with robust performance for pick-and-place tasks”, IEEE Trans. on Industrial Electronics, vol. 60, no. 9, Sept. 2013.

Jesus Manuel Gomez-de-Gabriel, Anthony Mandow, Jesus Fernandez-Lozano, and Alfonso Garcia-Cerezo, “ Mobile Robot Lab Project to Introduce Engineering Students to Fault Diagnosis in Mechatronic Systems, “IEEE Transaction on Education, Vol.28, no.3, Aug. 2015.

Chi Yi Tsai, Ching-Chang Wong, Chia-Jun Yu, Chih-Cheng Liu, and Tsung-Yen Liu, “A Hybrid Switched Reactive-Based Visual Servo Control of 5-DOF Robot Manipulators for Pick and Place Tasks”, IEEE Systems Journal, vol. 9, no. 1, March 2015.

Pavel V. Nikitin, and K. V. Seshagiri Rao, “LabVIEW-Based UHF RFID Tag Test and Measurement System”, IEEE Trans. on Industrial Electronics, vol. 56, no. 7, July 2009.

Baili .M., Chablat .D., Wenger .P., “A classification of 3R orthogonal manipulators by the topology of their workspace”, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Burdick .J.W., “A classification of 3R regional manipulator singularities and geometries” ,Proceedings.1991 IEEE International Conference on Robotics and Automation.

Biswal .B.B., Mishra .D., Panda .S., “An appropriate tool for optimizing the workspace of 3R robot manipulator” ,2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Liu Ding, Liu Han,Yang Yanxi, “An approach to obstacle avoidance for redundant manipulator based on fuzzy logics”,Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

Erika Ottaviano,Manfred Husty, Marco Ceccarelli, “A Study on Workspace Topologies of 3R Industrial-Type Manipulators” 2006 IEEE International Conference on Automation, Quality and Testing, Robotics

Pei-Chieh Chin,Waldron .K.J., “Hybrid velocity/force control of manipulators using PID controller and feedforward compensation” ,Proceedings of IEEE International Conference on Control and Applications.

Mr. Bhushan Bandre, Ms. Rashmi Khalatkar. (2015). Impact of Data Mining Technique in Education Institutions. International Journal of New Practices in Management and Engineering, 4(02), 01 - 07. Retrieved from http://ijnpme.org/index.php/IJNPME/article/view/35

Mohan, D. ., & Nair, L. R. . (2023). A Robust Deep Model for Improved Categorization of Legal Documents for Predictive Analytics . International Journal on Recent and Innovation Trends in Computing and Communication, 11(3s), 175–183. https://doi.org/10.17762/ijritcc.v11i3s.6179

Joshi, K., Kumar, V., Sundaresan, V., Karanam, S. A. K., Dhabliya, D., Shadrach, F. D., & Ramachandra, A. C. (2022). Intelligent Fusion Approach for MRI and CT Imaging using CNN with Wavelet Transform Approach. 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), 1–6. IEEE.

Downloads

Published

12.07.2023

How to Cite

Devi , S. N. ., Prabha, K. L. ., Ezhilazhagan, C. ., Sivakumar, S. A. ., Tamilarasu, R. ., Kumar, S. S. ., & Kumar, J. R. R. . (2023). Integration of Artificial Intelligence into Operations and Monitoring of 3R Manipulator. International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 591–597. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3199

Issue

Vol. 11 No. 9s (2023)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.

Most read articles by the same author(s)