Journal of Electrical Engineering and Automation
IRO Journals
Volume 5 — Issue 4 — December 2023

Design, Fabrication and Control Of Humanoid Robot for Surveillance Application

https://doi.org/10.36548/jeea.2023.4.002
Vignesh J
Department of Mechatronics, Bannari Amman Institute of Technology, Affiliated to Anna University
Vignesh M
Department of Mechatronics, Bannari Amman Institute of Technology, Affiliated to Anna University
Pavan Kumar A
Department of Mechatronics, Bannari Amman Institute of Technology, Affiliated to Anna University
PDF
PDF

How to Cite

J, Vignesh, Vignesh M, and Pavan Kumar A. 2023. “Design, Fabrication and Control Of Humanoid Robot for Surveillance Application”. Journal of Electrical Engineering and Automation 5 (4): 408-18. https://doi.org/10.36548/jeea.2023.4.002.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— Humanoid Robot
— Surveillance
— Design
— Fabrication
— Control
— Robotics
— Security
— Surveillance Applications
— Surveillance Technology
Published: 28-11-2023

Abstract

In recent years, the field of robotics has experienced an unprecedented surge in innovation, transforming from the realm of science fiction into tangible, multifaceted tools essential to modern life. This research’s focal point is the design, fabrication, and control of a humanoid robot customized explicitly for surveillance purposes. This journey navigates through the historical roots of robotics, addressing the intricate landscape of modern surveillance challenges, and exploring the dynamic motivations driving the ambitious endeavour. By combining historical context, contemporary challenges, and research objectives, this abstract provides a comprehensive overview of the research's significance in the evolving world of robotics and surveillance technology.

References

  1. Chang, S., Kim, J., & Lee, H. (2018). Gesture-based human-robot interaction for surveillance applications. International Journal of Robotics Research, 37(10), 1243-1260.
  2. Chen, X., Wang, Y., & Liu, Z. (2021). Deep learning-based object detection for humanoid robot surveillance. Robotics and Autonomous Systems, 135, 103782.
  3. Choi, J., Kim, S., & Park, H. (2020). Probabilistic sensor fusion for humanoid robot surveillance. Journal of Intelligent & Robotic Systems, 98(1), 123-138.
  4. Choe, J., Lee, K., & Lim, B. (2017). Obstacle avoidance control for humanoid robot surveillance. Robotics and Computer-Integrated Manufacturing, 48, 135-147.
  5. Kim, H., Park, S., & Yang, M. (2017). Multi-sensor integration for humanoid robot navigation. Robotica, 35(2), 367-384.
  6. Kim, J., Lee, S., & Kim, D. (2019). Humanoid robot security assistant in public spaces. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2541-2546.
  7. Kato, H., Hideo, Y., & Iwata, H. (2010). Biped walking pattern generation for humanoid robots. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 629-634.
  8. Lee, J., Song, D., & Jung, H. (2016). Human-like appearance for effective surveillance. Proceedings of the IEEE/RSJ International Conference on Humanoid Robots (Humanoids), 374-379.
  9. Yu, Zhangguo, Qiang Huang, Gan Ma, Xuechao Chen, Weimin Zhang, Jing Li, and Junyao Gao. "Design and development of the humanoid robot BHR-5." Advances in Mechanical Engineering 6 (2014): 852937.
  10. Oh, Kwang-Myung, Ji-Hoon Kim, and Myung-Suk Kim. "Development of humanoid robot design process-focused on the concurrent engineering based humanoid robot design." In IDC International Design Congress (IASDR) 2005. International Design Congress, 2005.