A Next-Generation IoT-Driven Robotic Rescue Paradigm for Borewell Emergencies with High-Torque Adaptive Manipulation

Abstract

Rescue operations in deep and narrow borewells are extremely challenging due to restricted access, poor visibility, and the inability of humans to directly reach victims in such confined vertical environments. To address these limitations, this work presents a compact and remotely operated Borewell Rescue Robot (BRR) developed using an Espressif Systems Processor (ESP32-CAM) Microcontroller Unit (MCU), designed to enable real-time monitoring and precise control during emergency situations. The system integrates live video streaming with mechanical actuation through a wireless interface, allowing operators to guide and control the robot safely from a remote location. A 32-bit embedded processor supported by Pseudo-Static Random Access Memory (PSRAM) ensures smooth and continuous Video Graphics Array (VGA) image transmission, providing clear visualization of the borewell interior. Communication is established using a Wireless Fidelity (Wi-Fi) Access Point (AP), while WebSocket-based protocols facilitate low-latency, bidirectional data exchange for synchronized control and monitoring. The robotic mechanism incorporates dual high-torque servo motors for accurate gripping and positioning, enabling effective manipulation within narrow shafts. To overcome low-light conditions, a Pulse Width Modulation (PWM)-controlled Light Emitting Diode (LED) system is integrated for enhanced illumination. The software architecture follows an asynchronous, event-driven model using the ESPAsyncWebServer framework, allowing concurrent handling of video streaming and control commands without delay. Additionally, a fail-safe mechanism is implemented to reset actuators and disable critical components in case of communication loss, ensuring system safety, reliability, and efficient deployment in real-world rescue scenarios.