Dunhua Chen

Guangxi University of Science and Technology, Harbin Institute of Technology

Papers

Total Citations

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About

Dunhua Chen is a researcher at the forefront of intelligent robotics and autonomous systems, with a primary focus on visual simultaneous localization and mapping (SLAM) in dynamic environments. His major contributions include pioneering work on integrating object detection and instance segmentation into SLAM frameworks, addressing the long-standing challenge of robust localization in scenes with moving objects. His 2023 review on visual SLAM based on object detection networks has garnered 9 citations, establishing a foundational reference for researchers seeking to enhance robot navigation and autonomous driving capabilities. Chen has also advanced the field of inspection robotics, developing a complete coverage path planning algorithm for wind turbine blade wall-climbing robots that combines bio-inspired neural networks with energy consumption models—a 2025 paper already attracting attention with 3 citations. His 2024 comprehensive review on dynamic SLAM visual odometry further solidifies his expertise, earning 2 citations. Through these works, Chen is shaping the next generation of perception systems that enable robots to operate reliably in complex, real-world settings, making his research essential reading for students and engineers working on autonomous navigation and industrial inspection.