Papers
1
Total Citations
11
H-Index
1
About
Dr. Guowei Wen is a leading researcher in robotics and intelligent path planning, with a primary focus on enhancing automation for critical infrastructure maintenance. His most impactful work addresses the challenge of robot navigation in complex, high-stakes environments, particularly ultra-high voltage (UHV) substations. Dr. Wen’s major contribution is the development of a novel path planning method that synergistically combines an enhanced Artificial Potential Field (APF) with an improved Ant Colony Optimization (ACO) algorithm. This hybrid approach overcomes the limitations of traditional algorithms, enabling mobile robots to efficiently and safely navigate power emergency maintenance scenarios. His 2023 paper on this subject has already garnered 11 citations, demonstrating its immediate relevance to the field. By tackling the real-world problem of substation inspection, Dr. Wen’s work directly supports the reliability of power grids and the safety of maintenance personnel. His research stands at the critical intersection of swarm intelligence, obstacle avoidance, and practical robotic deployment, offering a robust solution for autonomous operations in hazardous environments.
Research Focus
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Top Papers
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