Enhancing Land-Based Robotics Through the Development of Remotely Operated Vehicles for Military, Rescue and Industrial Applications

Abstract

In recent years, there have been significant advancements in Remotely Operated Vehicles (ROVs), particularly in air and underwater applications. However, the progress in land-based ROVs has been slow, necessitating innovative approaches to address the existing challenges. This research paper presents a comprehensive analysis of the current state of land-based ROV technology, focusing on its limitations. A comprehensive solution is proposed, which combines well-established technology from the gaming industry, such as steering wheel controls and accelerators, with high-performance vehicle control systems to overcome these shortcomings. The suggested approach aims to enhance the control and precision of land-based ROVs using imitation learning techniques, thereby increasing operator safety during critical missions. The paper highlights the primary features and capabilities of the proposed model while underscoring its potential to revolutionize land-based robotic systems. The researchers aspire to advance the field of remote vehicles operating in challenging terrains by providing valuable insights derived from their study. The conclusions drawn from this research significantly impact the future development and utilization of land-based ROVs, paving the way for safer and more efficient operations across various sectors and applications.