打破复杂水域探测困境！浙大仿生机器鱼登CELL子刊，双游动模式展现卓越环境适应性，负重54倍稳定前行

Core Insights - The article discusses the development of a bionic robotic fish by Zhejiang University, which addresses the challenges of underwater exploration and monitoring in complex marine environments [1][3]. Innovation and Design - The robotic fish features a novel drive/deformation system based on a structure called "Post-Buckling Notched Plates" (PBNP), which mimics the pectoral fins of manta rays to convert small linear movements into significant fin flapping [5][7]. - The design allows for controlled and efficient deformation, enabling the robotic fish to navigate both narrow spaces and open waters effectively [1][5]. Performance and Modes - The swimming behavior of the robotic fish is controlled by three parameters: vacuum pressure, frequency, and duty cycle, which influence the fin flapping and overall swimming performance [10][12]. - It operates in two modes: "flapping mode" for rapid propulsion and efficient cruising at low frequencies (0-4 Hz), and "oscillation mode" for stable movement in confined spaces at higher frequencies (above 4 Hz) [12][16]. Environmental Adaptability - The robotic fish demonstrates exceptional adaptability to extreme conditions, functioning in temperatures ranging from 0.6°C to 87.2°C, making it suitable for various marine environments [19][20]. - It can seamlessly switch between modes to navigate through different environmental challenges, such as strong currents and narrow gaps [22][24]. Multi-Functionality - A non-tethered version of the robotic fish integrates multiple functions, including propulsion, monitoring, and communication, into a compact design, enhancing its operational reliability [25][27]. - The system can sample water quality in real-time and distribute substances like feed or water treatment agents during operation, transforming the robotic fish into a mobile workstation for aquaculture and environmental monitoring [27][28]. Future Developments - Future research aims to optimize the fish's shape to reduce hydrodynamic drag and enhance its autonomous navigation capabilities through advanced sensor integration [29].