Papers
2
Total Citations
16
H-Index
2
About
Panpan Wang’s research lies at the dynamic intersection of intelligent robotics, bio-inspired optimization, and multimodal human-robot interaction. Wang is best known for pioneering work in path planning for mobile robots, where a key contribution is the development of a logarithmic function adaptive artificial fish swarm algorithm (AFSA). This innovation overcomes the limitations of traditional AFSA—specifically, the constraints imposed by fixed visual field parameters and step sizes—to significantly enhance global search speed and efficiency. This foundational work has garnered 10 citations, establishing a robust framework for adaptive swarm intelligence in autonomous navigation. More recently, Wang has ventured into the cutting-edge domain of multimodal perception, exploring how transformers and generative adversarial networks (GANs) can be fused to create robots capable of audiovisual perception for musical performance art. This 2023 study, with 6 citations, investigates the fusion of music and motion to heighten emotional expressiveness in robot performances, reflecting a growing societal appetite for deeper emotional connections in art. Wang’s work not only advances technical frontiers in robotics but also bridges engineering with the arts, offering a compelling vision for emotionally resonant human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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