Hongwei Gao

Papers

Total Citations

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About

Hongwei Gao is a prominent researcher in robotics and autonomous systems, with a primary focus on indoor mobile robot navigation and perception. His most-cited work, "Autonomous Navigation System of Indoor Mobile Robots Using 2D Lidar" (2023, 28 citations), addresses critical challenges in real-world robotics—specifically, the inaccuracies in map construction and inefficiencies in path planning that hinder practical deployment. Gao’s contributions lie in developing robust algorithms that enhance the precision and reliability of 2D LiDAR-based navigation, enabling safer and more efficient autonomous movement in complex indoor environments. His research bridges the gap between theoretical robotics and industrial application, offering scalable solutions for logistics, service robotics, and smart infrastructure. With a growing citation impact, Gao’s work is increasingly recognized for its practical relevance, and he continues to advance the field through innovative sensor fusion and adaptive control strategies. His achievements underscore a commitment to solving real-world engineering challenges, making him a key figure for students and researchers interested in the future of autonomous mobile systems.