Papers
9
Total Citations
294
H-Index
5
About
Jiexin Pu is a leading researcher in mobile robotics, autonomous navigation, and intelligent control systems, with a career spanning foundational surveys to cutting-edge algorithmic innovations. His landmark 2004 review, *Wireless robotic capsule endoscopy: state-of-the-art and challenges* (108 citations), established him as a pioneer in medical robotics, outlining the critical hurdles for active capsule endoscopes. Pu’s core contributions lie in path planning and sensor fusion for autonomous robots. His adaptive ant colony system (AIACSE, 70 citations) uses population information entropy to dramatically improve optimization diversity and convergence, while his robust INS/UWB integration method (69 citations) solves the key challenge of anti-interference positioning for indoor mobile robots. He further advanced practical navigation with hybrid path optimization (EACSPGO, 27 citations) and smooth RRT-based planning. Beyond these high-impact works, Pu has explored visual guidance for industrial alignment and fuzzy sliding mode control for robotic arms, demonstrating versatility from theoretical algorithms to real-world manufacturing applications. His research consistently bridges the gap between bio-inspired computation and robust, real-time robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1Wireless robotic capsule endoscopy: state-of-the-art and challenges108 citations · 2004
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- 5IRobot self-localization using EKF8 citations · 2016
- 6An Autonomous Robotic Alignment Strategy Based on Visual Gudiance4 citations · 2019
- 7Sliding mode control based on fuzzy switching gain for the robot arm3 citations · 2017
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- 9Binocular stereo vision based indoor scene perception2 citations · 2011