Papers
13
Total Citations
92
H-Index
7
About
Linan Zu is a robotics researcher whose work spans acoustic localization, mobile robot navigation, multi-robot coordination, and robotic manipulator path planning. Perhaps most distinctively, Zu has made sustained contributions to the field of robot audition — the use of microphone arrays and sound source localization to guide robots in environments where visual, ultrasonic, and infrared sensors fail. This focus proved especially relevant in rescue robotics, where smoke, debris, and collapsed structures render conventional sensing ineffective. Zu's 2011 paper on microphone array-based auditory localization for rescue robots, his most cited work with 15 citations, demonstrated how acoustic signals' diffraction properties could be harnessed to locate survivors through obstacles. Complementing this, earlier work from 2009 established foundational acoustic localization systems for mobile robot navigation. Zu also tackled multi-robot systems, developing cost-optimized task-allocation algorithms and reinforcement learning approaches for obstacle avoidance. More recently, a 2024 study on an improved Bi-RRT algorithm for robotic manipulator path planning has quickly attracted 14 citations, signaling ongoing relevance. Across more than two decades, Zu's research consistently addresses real-world robotic challenges in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Microphone array based auditory localization for rescue robot15 citations · 2011
- 2Path Planning of the Robotic Manipulator Based on an Improved Bi-RRT14 citations · 2024
- 3A Far Field Sound Source Localization System for Rescue Robot10 citations · 2011
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- 5An Acoustic Localization System Using Microphone Array for Mobile Robot8 citations · 2009
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- 10Sound source target localization system of mobile robot5 citations · 2010