Remote-Controlled Military UGV for Surveillance & Tactical Operations

Authors

  • Vaibhav Kumar Sahu Undergradute Student, Department of Computer Science and Engineering, Amity University, Raipur, Chhattisgarh, India
  • Himanshu Soni Undergradute Student, Department of Computer Science and Engineering, Amity University, Raipur, Chhattisgarh, India
  • Nikunj Patel Undergradute Student, Department of Computer Science and Engineering, Amity University, Raipur, Chhattisgarh, India
  • Mo.Ayan Siddiqui Undergradute Student, Department of Computer Science and Engineering, Amity University, Raipur, Chhattisgarh, India
  • Nisha Rathore Assistant Professor, Department of Computer Science and Engineering, Amity University, Raipur, Chhattisgarh, India
  • Raj Kumar Sahu Assistant Professor, Department of Electronics and Communication Engineering, Amity University, Raipur, Chhattisgarh, India

DOI:

https://doi.org/10.46610/JOSCC.2025.v02i01.005

Keywords:

Autonomous navigation, ESP32, IoT, Military robotics , Remote Surveillance, Unmanned ground vehicle

Abstract

Modern military operations require advanced technological solutions to ensure operational effectiveness and safety. Unmanned ground vehicles, or UGVs, have emerged as a significant innovation in reducing human exposure to hazardous battlefield conditions, such as landmines and hostile threats. This study demonstrates the design and construction of a prototype UGV with remote-controlled mobility, mine detection, and real-time surveillance. The system integrates an ESP32 microcontroller, ultrasonic sensors, and an ESP32-CAM module to intelligently detect threats and make data-driven decisions. The UGV can move steadily over a range of terrains thanks to a four-motor dual-belt system. IoT-based data transfer ensures real-time situational awareness, while wireless communication via Wi-Fi and Bluetooth facilitates remote operation. The prototype's precise mobility, effective obstacle identification, and live video transmission make it suitable for military reconnaissance, surveillance, and hazardous environment applications. This study further explores the potential of cloud computing for enhanced data analytics, autonomous navigation based on GPS, and AI-driven object recognition. Future developments like swarm robots and satellite connectivity could further expand its autonomy and operational range. The findings encourage the ongoing advancement of unmanned systems, providing a cost-effective and scalable solution for security and defense missions.

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Published

2025-04-28

Issue

Vol. 2 No. 1 (2025): January – April

Section

Articles