Wenlong Zhao

Shanghai University of Engineering Science

Papers

Total Citations

H-Index

About

Wenlong Zhao is a researcher focused on advancing autonomous navigation and robotic systems for underwater exploration. His key research areas include Simultaneous Localization and Mapping (SLAM) and path planning for Autonomous Underwater Vehicles (AUVs), as well as hybrid underwater robot system design. Zhao’s major contributions are evident in his comprehensive reviews that synthesize the state of the art in these fields. His most cited work, "Review of SLAM Techniques For Autonomous Underwater Vehicles" (2019, 16 citations), critically examines the application of SLAM—a crucial method for autonomous positioning—in challenging underwater environments, highlighting ongoing research trends and challenges. Similarly, his "Review of Path Planning for Autonomous Underwater Vehicles" (2019, 11 citations) addresses the vital role of path planning in enabling AUVs to navigate safely and avoid obstacles in diverse marine conditions. Additionally, Zhao has explored practical system integration through his work on a "Hybrid Underwater Robot System Based on ROS" (2019, 2 citations), demonstrating engineering innovation by leveraging the Robot Operating System for modular and efficient underwater robot design. Through these contributions, Zhao has provided foundational insights that support the development of more capable and autonomous underwater vehicles for marine resource exploration and scientific missions.