Group 1 - The article discusses the swimming abilities of fish, highlighting their adaptability in complex environments and their explosive speed during predation and escape [1] - It introduces four swimming modes based on body wave patterns: Anguilliform, Thunniform, and others, emphasizing that the concentration of body movement towards the tail enhances speed [3][4] - The research led by Professor Yu Junzhi's team presents a multimodal robotic fish that can switch between different swimming modes, inspired by the muscle structure of fish [6][8] Group 2 - The robotic fish platform developed allows for rapid switching between high maneuverability (Anguilliform mode) and high-speed swimming (Thunniform mode), providing a unified experimental platform for biomechanical studies [10][16] - The study quantifies the performance differences between swimming strategies, showing that the Thunniform mode achieves a maximum swimming speed of 1.24 body lengths per second at 5 Hz, while the Anguilliform mode shows performance degradation above 4 Hz [21][22] - The research reveals a classic trade-off between speed and maneuverability, with the Thunniform mode having a larger turning radius compared to the more flexible Anguilliform mode [26][28]