Yuezhong Zhang
Papers
1
Total Citations
16
H-Index
1
About
Yuezhong Zhang is a researcher specializing in intelligent robotics and control systems, with a particular focus on cooperative robot architectures. His most-cited work, "Neural network control system of cooperative robot based on genetic algorithms" (2020), has garnered 16 citations, reflecting its impact on the integration of evolutionary computation with neural network-based control. Zhang's major contribution lies in developing hybrid optimization frameworks that combine genetic algorithms with neural networks to enhance the adaptability and efficiency of multi-robot coordination. This approach addresses critical challenges in dynamic environments, such as real-time decision-making and fault tolerance. By bridging the gap between bio-inspired algorithms and robotic control, his research offers practical solutions for industrial automation and collaborative tasks. Zhang's work is notable for its emphasis on scalability and robustness, providing a foundation for future advances in autonomous systems. His findings continue to influence studies in adaptive control and swarm robotics, making him a key figure in the evolution of intelligent cooperative robots.
Research Focus
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Top Papers
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