Papers
1
Total Citations
3
H-Index
1
About
Duan Zhuo is a researcher focused on advancing the perception and navigation capabilities of service robots in complex indoor environments. His primary research areas include dynamic obstacle tracking, sensor-based classification, and autonomous robot navigation. Zhuo’s most notable contribution is his work on a laser range finder (LRF)-based approach for tracking and classifying dynamic obstacles, a critical challenge for robots operating in human-centric spaces. His 2015 paper, "Tracking and classification of dynamic obstacles with laser range finder in indoor environments," has garnered 3 citations, reflecting its foundational role in addressing real-world robotic mobility. By enabling robots to distinguish between different types of moving objects, Zhuo’s research helps improve safety and efficiency in applications like domestic assistance and logistics. His work underscores the importance of robust sensor data processing for autonomous systems, offering practical solutions for robots to navigate unpredictable surroundings. Duan Zhuo’s contributions continue to support the development of smarter, more responsive service robots.
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Top Papers
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