Papers
4
Total Citations
48
H-Index
3
About
Dr. Tao Zou is a leading researcher in intelligent autonomous systems, with a primary focus on underwater robotics, computer vision, and multi-vehicle coordination. His most impactful work, "Vision-based neural formation tracking control of multiple autonomous vehicles with visibility and performance constraints" (2021, 22 citations), addresses the critical challenge of maintaining formation control under real-world visibility limits—a foundational contribution to swarm robotics. Dr. Zou has also advanced practical applications in marine exploration through his 2024 study on lightweight underwater object detection (18 citations), which tackles the formidable problems of light attenuation and background interference using higher-order information and image enhancement. His research extends to autonomous underwater vehicle (AUV) recycling, where he developed a deep learning and Kalman filter-based anti-interference tracking method (2023, 7 citations), directly supporting long-term autonomous missions. Most recently, his 2025 review on bionic design in underwater soft grippers (1 citation) synthesizes insights from octopus and jellyfish morphology to inspire next-generation manipulation systems. With a career dedicated to bridging theoretical control and vision algorithms with deployable solutions for harsh marine environments, Dr. Zou’s work is essential reading for engineers and researchers advancing autonomous underwater technologies.
Research Focus
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Top Papers
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