Papers
1
Total Citations
2
H-Index
1
About
Yong Dai is a researcher whose work lies at the intersection of computational intelligence and robotics, with a particular focus on path-planning and optimization. His most notable contribution, the "Application of Fuzzy Ant Colony Algorithm to Robotics Arm Avoiding Obstacle Path-planning Problem" (2015), introduces a novel hybrid approach that integrates fuzzy logic with ant colony optimization to enhance the efficiency and adaptability of robotic arm navigation in obstacle-rich environments. This work, while receiving 2 citations, demonstrates a foundational effort in addressing real-world challenges in automation and robotics. Dai’s research is characterized by its practical orientation, aiming to improve the decision-making capabilities of autonomous systems through bio-inspired algorithms. His contributions are particularly relevant for students and researchers exploring the intersection of soft computing and robotics, offering a stepping stone for further advancements in intelligent path-planning. Though early in his citation impact, Dai’s work signals a commitment to solving complex engineering problems with innovative, nature-inspired solutions.
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Top Papers
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