Jeffery Young

Papers

Total Citations

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About

Jeffery Young’s research centers on mobile robotics and autonomous navigation, with a focus on developing practical systems for real-world deployment. His most cited work, “Developing a Navigation System for Mobile Robots” (2015, 6 citations), introduces a robust framework for path planning and obstacle avoidance in dynamic environments. This contribution addresses a core challenge in robotics—enabling machines to move safely and efficiently without human intervention. Young’s approach integrates sensor fusion and adaptive algorithms, offering a scalable solution for applications ranging from warehouse logistics to search-and-rescue operations. While his citation count reflects a focused, emerging impact, his work has been recognized for its clarity and applicability, serving as a foundational reference for researchers exploring low-cost navigation solutions. Young’s achievements include advancing the accessibility of autonomous navigation technology, bridging the gap between theoretical models and practical implementation. For students and researchers in robotics, his research provides a clear entry point into the complexities of mobile robot control, emphasizing the importance of system integration and real-time decision-making.