Narrative Review
Narrative reviews synthesize existing research to provide a comprehensive overview of a specific topic, aiming to identify key trends, gaps, and future research directions. Current research focuses on applying narrative reviews across diverse fields, employing various model architectures like graph neural networks, large language models, and diffusion models to analyze complex data and improve model interpretability and efficiency. This approach is crucial for advancing scientific understanding and informing the development of practical applications in areas such as medicine, engineering, and manufacturing.
Papers
Underwater Human-Robot and Human-Swarm Interaction: A Review and Perspective
Sara Aldhaheri, Federico Renda, Giulia De Masi
When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective
Shoujie Li, Zihan Wang, Changsheng Wu, Xiang Li, Shan Luo, Bin Fang, Fuchun Sun, Xiao-Ping Zhang, Wenbo Ding