Abstract

This scientific article highlights the development of an all-terrain intelligent robotic vehicle (ATIRV) platform, its overall structure, virtual modeling and simulation programs (such as Unity 5), electronic controls, and corresponding modules. This paper also shows the physical structure developed for the all-terrain intelligent vehicle and some of its components, which allow other modern robotic vehicles to operate autonomously and automatically in uncharted and dangerous environments. The practical part of the project has been developed by using state-of-the-art features like tele-metrics, tele-operation, drive assist modules, and autonomous navigation using the physical model of the all-terrain intelligent vehicle as structural model in the research experiment and for validating the initial hypothesis (of automatic ATIRV). Other scientific contributions consist in the determination of operational (kinematic and dynamic) parameters. Their comparison with reference values guides the paper’s discussions and conclusions.

Highlights

  • Design and development, supported by computational power, are already applied in the optimization of robotic systems [1]

  • The connectors, suitable to be implemented in robotic multiple robotic applications and architectures

  • This work presented the design and protocol results offorcontrol protocol for an allvehicle robot which may be applied in a multitude of scenarios, such as surveillance, hazardous terrain intelligent vehicle robot which may be applied in a multitude of scenarios, such as transports, and metal detection, in both muddydetection, and snowy was designed surveillance, hazardous transports, and metal in surfaces

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Summary

Introduction

Design and development, supported by computational power, are already applied in the optimization of robotic systems [1]. Applied solutions concerning robotic systems for quasi-autonomous inspections [2], dangerous material detection/measurement [3], harshness assessment [4], personal safety [5], automated controlled vehicles [6], and Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis of the development processes [7] have been partially approached, and applied in laboratory research. They have been field-tested in given conditions to some extent [8,9].

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