Papers
5
Total Citations
46
H-Index
4
About
Zhan Zhao is a researcher specializing in mobile robotics, with a primary focus on path planning, motion control, and autonomous navigation in complex environments. Their most significant contributions lie in developing biologically inspired and kinematically constrained algorithms for safe and efficient robot movement. Zhao’s highly cited 2021 work on neural network-based path planning for arbitrary-shaped mobile robots, which has garnered 18 citations, introduced a novel approach that discretizes 2D workspaces using a biological neural network to ensure safety in cluttered settings. This was further refined in 2023 for differential drive agricultural robots, demonstrating practical applications in precision farming. Zhao has also advanced rapidly exploring random tree (RRT) algorithms with post-waypoint shifting to generate shortest paths under kinematic constraints, and explored trajectory learning for tracked robots using ensemble machine learning methods like Bagging-GMM/HSMM. Earlier work on multi-odor source localization using integrated wireless sensor networks and mobile robots highlights a broader interest in environmental sensing. With a growing citation record and a clear trajectory of innovation, Zhao is establishing themselves as a key contributor to intelligent robotic navigation systems.
Research Focus
Key Achievements
Top Papers
- 1Path Planning of Arbitrary Shaped Mobile Robots With Safety Consideration18 citations · 2021
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