Authors : Samarth Pande; Atharv Nagpurkar; Apurva Lahudkar; Pooja Shelke

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/3sj2njpz

DOI : https://doi.org/10.38124/ijisrt/26apr594

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : In this paper, we present the designing of AEROX which is the name given to a novel and advanced robot that can work as a transforming rover and drone. The robot is capable of performing tasks related to advanced surveillance as well as field works. It combines both roving and flying properties in a single unit so that efficient performance is ensured regardless of the environment and the type of surface on which it is to perform tasks. It functions in rover mode and drone mode depending on the needs of the task being performed. Sensors, cameras, global positioning satellite, and wireless communication modules are some of the key components of the robot. It can be used for purposes including but not limited to surveillance, agriculture monitoring, disaster management, and security measures. Artificial intelligence is utilized to increase its capabilities.

Keywords : Hybrid Robot, Rover-Drone, Autonomous System, Surveillance, Transformation Mechanism

References :

1. I. Maza and A. Ollero, “Multiple UAV cooperative searching operation using polygon area decomposition and efficient coverage algorithms,” Distributed Autonomous Robotic Systems, pp. 221–230, 2007.
2. S. Rohmer, S. P. N. Singh, and M. Freese, “VineRobot: Design and control of a soft growing robot for navigation in unstructured environments,” IEEE Robotics and Automation Letters, vol. 2, no. 4, pp. 1951–1958, Oct. 2017.
3. P. Corke, Robotics, Vision and Control: Fundamental Algorithms in MATLAB, 2nd ed. Cham, Switzerland: Springer, 2017.
4. R. Siegwart, I. R. Nourbakhsh, and D. Scaramuzza, Introduction to Autonomous Mobile Robots, 2nd ed. Cambridge, MA, USA: MIT Press, 2011.
5. A. Kendoul, “Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems,” Journal of Field Robotics, vol. 29, no. 2, pp. 315–378, 2012.
6. M. Quigley et al., “ROS: An open-source Robot Operating System,” in Proc. IEEE Int. Conf. Robotics and Automation Workshop, 2009, pp. 1–6.
7. D. Floreano and R. J. Wood, “Science, technology and the future of small autonomous drones,” Nature, vol. 521, pp. 460–466, May 2015.
8. H. Choset et al., Principles of Robot Motion: Theory, Algorithms, and Implementations. Cambridge, MA, USA: MIT Press, 2005.