Papers
5
Total Citations
116
H-Index
3
About
Jianhui Zhang is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on path planning, reinforcement learning, and control systems for mobile robots and manipulators. Their most influential work, "An Improved PSO-GWO Algorithm With Chaos and Adaptive Inertial Weight for Robot Path Planning" (69 citations), addresses critical limitations in traditional optimization methods by introducing a hybrid algorithm that enhances global search capability and prevents premature convergence. Zhang further advanced the field with a novel Type-3 fuzzy predictive approach for wheeled mobile robots (25 citations), enabling more sophisticated autonomous movement through intelligent path-following schemes. Their innovative integration of prior knowledge into reinforcement learning algorithms (19 citations) significantly improves convergence speed and learning efficiency in partially known environments. Zhang has also contributed to manipulator control systems using six-axis force sensors and intelligent controllers, and explored planar reconstruction for indoor scenes with applications in digital preservation, robot navigation, and intelligent transportation. Through these contributions, Zhang has established a reputation for developing practical, computationally efficient solutions that bridge theoretical optimization with real-world robotic applications, making their work essential reading for researchers in autonomous systems and intelligent control.
Research Focus
Key Achievements
Top Papers
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- 2A New Type-3 Fuzzy Predictive Approach for Mobile Robots25 citations · 2022
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