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About

Manjun Tian is a robotics and computer vision researcher whose work centers on autonomous environmental cleaning systems, particularly for aquatic pollution remediation. Tian has made significant contributions to the development of intelligent robots capable of detecting and collecting floating and underwater garbage, addressing one of the most pressing environmental challenges of our time. His most recognized work includes the IWSCR system — an autonomous water surface cleaning robot capable of cruise detection, object tracking, and garbage collection — which has garnered 96 citations since its 2020 publication. Complementing this, his modified YOLOv3-based real-time detection method for dynamic aquatic environments has attracted 95 citations, establishing him as a leading voice in vision-based garbage detection for robotics. Tian has continued refining these approaches through adaptations of YOLOv4 for both surface and underwater applications, incorporating model pruning for computational efficiency. His 2022 contribution on FM*-based path planning further demonstrates his breadth, extending his expertise into intelligent task allocation and motion planning. Collectively, his research has accumulated nearly 270 citations, reflecting its strong influence on the growing field of environmentally-driven autonomous robotics.