A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy

Year : 2025 | Volume : 03 | Issue : 02 | Page : 7 21
    By

    Heena T. Shaikh,

  • I.R. Kazi Kutubuddin Sayyad Liyakat,

  1. Assistant Professor, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
  2. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots. This study explores the design, implementation, and potential of insect-inspired robots, focusing on the synergistic integration of miniaturized sensor arrays and advanced Artificial Intelligence (AI) algorithms. We delve into bio-mimetic sensing, drawing inspiration from compound eyes, olfactory systems, and tactile hairs, to equip robots with acute environmental perception, obstacle avoidance capabilities, and navigation in cluttered spaces. Furthermore, we present how AI, including machine learning for pattern recognition, reinforcement learning for adaptive locomotion, and swarm intelligence algorithms for coordinated behavior, translates raw sensor data into intelligent decision-making and robust autonomous actions. The study demonstrates a significant leap towards developing micro-robots capable of traversing difficult terrains, performing intricate inspection tasks, and operating effectively in environments inaccessible or hazardous to humans, offering transformative potential across diverse fields from search and rescue to environmental monitoring and precision agriculture.

Keywords: Insect, robot, artificial intelligence, sensors, bio-inspired

[This article belongs to International Journal of Robotics and Automation in Mechanics ]

How to cite this article:
Heena T. Shaikh, I.R. Kazi Kutubuddin Sayyad Liyakat. A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy. International Journal of Robotics and Automation in Mechanics. 2025; 03(02):7-21.
How to cite this URL:
Heena T. Shaikh, I.R. Kazi Kutubuddin Sayyad Liyakat. A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy. International Journal of Robotics and Automation in Mechanics. 2025; 03(02):7-21. Available from: https://journals.stmjournals.com/ijram/article=2025/view=235195


References

  1. Shweta Kumtole, et al. Automatic wall painting robot Automatic wall painting robot. J Image Process Intell Remote Sens. 2022; 2(6): 11–22.
  2. Abhangrao CM, Liyakat KKS. A study on hybrid intelligence in COBOT. J Mech Robot. 2025 Sep; 10(2): 15–29.
  3. Sayyad Liyakat. Integrating IoT and Mechanical Systems in Mechanical Engineering Applications. J Mech Robot. 2023; 8(3): 1–6.
  4. Sunil Shivaji Dhanwe, et al. AI-driven IoT in Robotics: A Review. J Mech Robot. 2024; 9(1): 41–48.
  5. Nanomedicine as a Potential Therapeutic Approach to COVID-19. Int J Appl Nanotechnol. 2023; 9(2): 27–35.
  6. Megha Nagrale, Pol Rahul S, Birajadar Ganesh B, Mulani Altaf O. Internet of Robotic Things in Cardiac Surgery: An Innovative Approach. Afr J Biol Sci. 2024; 6(6): 709–725. doi: 33472/AFJBS.6.6.2024.709- 725
  7. Jadhav Vaibhav L, Shinde Arjun P. Detection of Fire in the Environment via a Robot Based Fire Fighting System Using Sensors. Int J Adv Res Sci Commun Technol. 2024; 4(4): 410–418.
  8. Sayyad Liyakat. Nanotechnology in Medical Applications: A Study. Nano Trends: J Nanotechnol Appl. 2024; 26(2): 1–11.
  9. Nanotechnology in BattleField: A Study. J Nanosci Nanoeng Appl. 2024; 14(2): 18–30.
  10. Sayyad Liyakat. A Study on AI-driven IoT (AIIoT) based Decision Making: KSK Approach in Robot for Medical Applications. Recent Trends Semicond Sens Technol. 2024; 1(3): 1–17.
  11. Sayyad Liyakat. Wireless Train Collision Avoidance System. Adv Res Commun Eng Innov. 2024; 1(3): 16–25.
  12. Internet of Battlefield Things: An IoBT-inspired Battlefield of Tomorrow. J Telecommun Switch Syst Netw. 2024; 11(3): 11–19.
  13. Mishra Sunil B. AI-Driven-IoT (AIIoT)-Based Decision Making in Manufacturing Processes in Mechanical Engineering. J Mech Robot. 2024d; 9(2): 27–38.
  14. Sayyad Liyakat. Nanorobotics: A Review. Int J Appl Nanotechnol. 2023; 9(2): 36–43. DOI: https://doi.org/10.37628/ijan.v9i2.1019
  15. Sayyad Liyakat. Sensor and IoT centered Smart Agriculture by NodeMCU. Recent Trends Sens Res Technol. 2024; 11(03): 24–32.
  16. Sayyad Liyakat. Internet of Robotics Things in Industrial Applications: A Study. J Control Instrum Eng. 2025 Feb; 11(1): 1–10.
  17. e-Skin Applications in Healthcare and Robotics: A Study. J Adv Robot. 2025; 12(1): 13–21.
  18. Millimeter Wave in Internet of Things Connectivity: A Study. Int J Wirel Secur Netw. 2025; 03(01): 13–23.
  19. Kutubuddin Sayyad Liyakat. TensorFlow-Based Big Data Analytics for IoT Networks: A Study. Int J Data Struct Stud. 2025; 03(01): 31–38.
  20. Kutubuddin Sayyad Liyakat. Multimedia Technology in Healthcare: A Study. J Multimed Technol Recent Advance. 2025; 12(01): 23–29.
  21. Patil Jatin M. Robotic Surgery using AI-Driven-IoT Based Decision Making for Safety: A Study. Int J Artif Intell Things Commun Ind. 2025 Mar; 1(1): 35–44.
  22. Liyakat KKS. Nanorobotics in Cancer Treatment: A Study. Int J Nanomater Nanostruct. 2025; 11(1): 44–52.
  23. Liyakat KKS. Nanomaterial and e-Skin Technology: A Study. Int J Nanobiotechnol. 2025; 11(1): 10–16.
  24. Mulla NR, Liyakat KKS. Pipeline Pressure and Flow Rate Monitoring Using IoT Sensors and ML Algorithms to Detect Leakages. Int J Artif Intell Mech Eng. 2025 Jun; 1(1): 20–30.
  25. Sayyad Liyakat. Nanorobots: The Fight against Cholesterol. Nano Trends J Nanotechnol Appl. 2025;27:23–32.

Regular Issue Subscription Review Article
Volume 03
Issue 02
Received 17/09/2025
Accepted 14/11/2025
Published 29/11/2025
Publication Time 73 Days


Login


My IP

PlumX Metrics