Bin Hua

Papers

Total Citations

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About

Bin Hua’s research focuses on intelligent mobile robot navigation, with a particular emphasis on neural network-based control systems for both indoor and outdoor environments. His major contributions lie in developing human-like navigation strategies for assistive robots, such as guide robots and wheelchair robots, by integrating multi-sensor models including GPS, compass, and environmental sensors. His most-cited work, “Neural Network based Guide Robot Navigation: An Evolutionary Approach” (2015, 18 citations), explores evolutionary training of neural networks to enable robots to navigate dynamic urban settings. In a subsequent study, “Human-like Artificial Intelligent Wheelchair Robot Navigated by Multi-Sensor Models in Indoor Environments and Error Analysis” (2017, 8 citations), he advanced the imitation of human navigation behavior using multi-sensor data fusion. These works demonstrate his commitment to creating safer, more intuitive robotic systems for real-world applications. Hua’s research has been instrumental in bridging the gap between artificial intelligence and practical robotics, making him a notable contributor to the field of autonomous navigation.