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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 12 Issue: 04 | Apr 2025

p-ISSN: 2395-0072

www.irjet.net

HexaRover: A Six-Wheeled Bot for Critical Rescue Missions L. Rangaiah1, Nishanth K2, Shrihari Chandrakantha Mallya3 1 Dean & Professor, Department of Electronics and Communication Engineering, Rajarajeswari College of

Engineering, Bangalore, Karnataka, India

2 Student, Department of Electronics and Communication Engineering, Rajarajeswari College of Engineering,

Bangalore, Karnataka, India

3 Student, Department of Electronics and Communication Engineering, Rajarajeswari College of Engineering,

Bangalore, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - Disaster response and relief efforts are often

a promising solution to mitigate these risks. Over the past two decades, robotics has revolutionized multiple industries, from manufacturing to space exploration, and its application in disaster management has grown exponentially. Search and rescue robots are designed to traverse complex environments, detect survivors, and relay critical data to rescue teams, ensuring that first responders can focus on high-priority areas. Among these, wheeled robots provide a balance of mobility, payload capacity, and cost effectiveness. However, traditional wheeled robots often struggle with unstable terrain, a crucial factor in disaster zones.

hindered by unpredictable terrain, hazardous conditions, and limited accessibility to affected areas. Traditional human-led search and rescue missions face significant risks and delays due to unstable structures, debris, and environmental hazards. The HexaRover is designed to address these challenges by providing an advanced, autonomous six-wheeled robotic system tailored for critical rescue missions. HexaRover integrates a robust six-wheel drive system to maximize terrain adaptability and maneuverability, enabling seamless navigation over rough, debris-filled, and unstable surfaces. Equipped with an array of state-of-the-art sensors, including LiDAR, ultrasonic sensors, infrared thermal imaging, and environmental sensors, HexaRover enhances the detection and identification of survivors in disaster-stricken zones. Furthermore, it employs machine learning-based obstacle avoidance and GPS-guided autonomous navigation to ensure efficient path planning and movement in dynamically changing environments. The robot features a multi-modal communication system comprising GSM, IoT cloud networking, and a real-time data transmission module that allows rescue teams to remotely monitor and control the rover from a central command station. Its AI-driven decision-making algorithms process sensory inputs to optimize search.

1.1 Motivation for the Study The primary motivation behind the development of HexaRover stems from the need for a highly mobile, intelligent, and autonomous system capable of providing realtime situational awareness in disaster-stricken areas. Some of the key challenges in SAR missions that HexaRover aims to address include:

Key Words: Disaster Response, Autonomous Robotics, HexaRover, Obstacle Avoidance, Terrain Adaptability, Machine Learning Navigation, and Real-time Data Transmission

Terrain Navigation – Disaster zones are filled with obstacles such as rubble, uneven ground, and unstable structures. HexaRover’s six-wheeled design, along with advanced suspension systems, ensures it can traverse difficult terrain without tipping over or losing traction.

Survivor Detection – Efficient identification of survivors trapped under debris is crucial. HexaRover integrates LiDAR, infrared thermal cameras, and acoustic sensors to enhance its ability to detect life signals.

Real-Time Communication – A key limitation in current SAR operations is the delay in relaying information between response teams and robotic systems. HexaRover leverages GSM and IoT-based cloud connectivity to enable real-time data transmission, ensuring that rescuers have immediate access to critical insights.

Autonomy and AI-Driven Decision Making – Many existing robotic solutions require direct human intervention for operation. HexaRover implements AI-driven path planning, obstacle avoidance, and collaborative decision-making algorithms, reducing

1.INTRODUCTION Disasters, both natural and man-made, pose a significant threat to human life, infrastructure, and economic stability. Earthquakes, floods, hurricanes, wildfires, and industrial accidents frequently leave behind devastated regions where timely search and rescue (SAR) operations are critical. Traditional SAR operations rely heavily on human responders, who must navigate treacherous conditions, often placing their own lives at risk. Despite technological advancements, response times in such scenarios remain slow due to logistical challenges, terrain limitations, and the sheer scale of destruction. Autonomous robotic systems offer

Impact Factor value: 8.315

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