International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Kar-alambana (A Robotic Arm)

Abstract

This paper presents the development of a robotic arm system capable of mimicking human hand movements through the utilization of Python libraries including Media-pipe and OpenCV, in conjunction with Arduino hardware components and servo motors. The objective of this research is to investigate the feasibility of creating a human-like robotic arm that responds to hand gestures, offering potential applications in diverse fields such as manufacturing, healthcare, and assistive technology.

Country : India

1 Aditya Waingankar2 Madhura Garge3 Dhananjay Chaudhari4 Neha Mhatre5 Prof. Sonali Deshpande

  1. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  2. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  3. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  4. Student, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India
  5. Professor, Dept. of AI & ML, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India

IRJIET, Volume 8, Issue 3, March 2024 pp. 273-277

doi.org/10.47001/IRJIET/2024.803041

Full Paper
Download

References

  1. Kim, D., Park, J., & Kim, J. (2019). A Review of Human-Robot Interaction and Its Applications in Service Robots. International Journal of Control, Automation and Systems, 17(1), 208-224.
  2. Melo, K., Marques, H., Nunes, U., &Menegatti, E. (2017). Hand Gesture Recognition Using Convolutional Neural Networks for Human-Robot Interaction. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2531-2536.
  3. Ghazali, R., Kuan, Y., & Tee, C. (2018). Human-Robot Interaction: A Review. Robotics and Autonomous Systems, 107, 1-22.
  4. Yang, H., Liu, C., & Chen, J. (2020). A Survey of Hand Gesture Recognition Techniques and Applications. Multimedia Tools and Applications, 79(47-48), 36253-36284.
  5. Siyouri, H., Haddi, Z., El Bouhdidi, S., & Tairi, H. (2019). A Survey of Robotic Arms Kinematics and Dynamics. In Proceedings of the IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 240-245.
  6. Taha, M. T., Halim, S. A., Abdullah, R., & Mohamed, A. (2020). A Review on Robotic Hand Designs,
  7. Grasping and Manipulation Techniques. Journal of Mechanical Engineering and Sciences, 14(2), 6661-6677.
  8. Medsker, L. R. (2017). A Review of Hand Gestures in Human-Robot Interaction and Their Impact on User Experience. International Journal of Human-Computer Interaction, 33(5), 333-351.

Copyright @ 2026-2017 IRJIET. All Right Reserved.

Developed by Byzero Technologies