Development of a Model and Performance Analysis of the Characteristics of a Multifunctional Autonomous Unmanned Ground Vehicle
D Chervonnyi Alexandr, Kolumbetov Batyr, Kalkabek Aidos
National Defense University Republican Center for Healthcare Development
内容与影响
This article focuses on a multifunctional autonomous unmanned ground vehicle (MAUGV), aiming to enhance its maneuverability, stability, and obstacle‐overcoming capabilities through the development and integration of control systems, sensor fusion, and modular design. The core problem addressed is the integration of autonomous capabilities with operational effectiveness across diverse and challenging environments. By implementing mathematical modeling and prototype testing, motor characteristics are analyzed, and various operational scenarios are simulated to predict the vehicle’s behavior in real‐world conditions. Results demonstrated the MAUGV’s ability to tackle obstacles up to specific heights and inclines, highlighting the model’s accuracy in replicating physical dynamics and the vehicle’s potential in challenging environments. These outcomes stem from an examination of drive power, traction characteristics, and cross‐country ability, underscoring the model’s utility in enhancing vehicle design and functionality. Additionally, the integration of a bayonet connection for rapid module changes significantly enhances the MAUGV’s adaptability across different missions. The practical implications of this work extend to the development and improvement of autonomous vehicles, offering insights into design considerations that improve adaptability and performance in varied operational contexts. By addressing specific challenges associated with autonomous mobility, the findings contribute to advancing the field, suggesting pathways for future research and application in areas requiring robust, versatile unmanned ground vehicles (UGVs).
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
回答优先基于摘要、文献信息与可获取全文;依据不足时会明确说明。
学术脉络
学科主题
计算机 / AIRobotic Path Planning Algorithms
Modular Robots and Swarm Intelligence · Robotics and Sensor-Based Localization
参考文献 19
此处列出前 3 条