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].

Group 1 - The Hangzhou Cultural Expo showcases the integration of technology and culture, featuring AI-generated content and immersive experiences [2][3] - The event introduces a new "Digital New City" pavilion, highlighting cutting-edge technologies such as AI-generated art and embodied robotics [2][3] - The "Star Gathering Future" exhibition celebrates the 10th anniversary of the Hangzhou Cultural Innovation Fund, presenting nearly 100 innovative products from over 30 cultural technology companies [3][4] Group 2 - The exhibition includes a digital art showcase of traditional Chinese auspicious patterns, featuring multimedia expressions and DIY workshops [3] - Advanced robotics and intelligent systems are prominently displayed, including soft robotic fish and autonomous flying robots [4] - The China Academy of Art presents an AIGC art domain, focusing on the creative applications of AI in various fields such as film, education, and gaming [4]

Core Points - The fifth World Biosphere Reserve Congress was held in Hangzhou, China, from September 22 to 25, with nearly 4,000 representatives from over 150 countries and regions attending, marking the first time the event was hosted in Asia [1] - The congress adopted the "Hangzhou Strategic Action Plan (2026-2035)" under the UNESCO Man and the Biosphere Programme, outlining development directions and action plans for the next decade [2] - The congress released the "Hangzhou Declaration," emphasizing China's commitment to collaborate with the international community in addressing ecological challenges and building a global community of life [2] Group 1 - China's experience in biodiversity protection is recognized as a model for global practices, with 34 biosphere reserves, the highest in Asia, and a national network of 214 members [2][3] - The Chinese Academy of Sciences plays a crucial role in providing technological support for biodiversity conservation and sustainable development [3] - The application of new technologies in ecological protection, such as intelligent species recognition and integrated monitoring systems, was a key focus of the congress [4] Group 2 - Innovative technologies showcased at the congress included bionic fish for water quality monitoring and AI-driven platforms for the protection of river dolphins [5][4] - Zhejiang province's biodiversity protection efforts were highlighted, with the city of Hangzhou receiving recognition as a "Model City for Coexistence with Nature" [6][7] - The congress demonstrated the progress made in biodiversity conservation in Zhejiang, aligning with China's broader sustainable development goals [6]

Core Insights - Bionics is driving innovation in intelligent robotic systems, particularly through the design and development of biomimetic robotic fish inspired by the superior maneuverability and perception of fish in complex underwater environments [1][4] - Traditional visual and sonar sensing technologies face performance limitations in challenging underwater conditions, while fish possess a unique lateral line system that provides a new paradigm for underwater robotic perception [1][4] - The research team from Peking University has proposed a novel data-driven framework that integrates modal decomposition and physical modeling for self-motion state estimation in biomimetic robotic fish [1][4] Summary by Sections Introduction to Bionics and Robotic Fish - Bionics connects nature and engineering, leading to advancements in intelligent robotic systems [1] - Fish exhibit exceptional maneuverability and perception in complex underwater environments, inspiring the design of biomimetic robotic fish [1] Challenges in Underwater Robotics - Traditional sensing technologies struggle in low-light and acoustically noisy underwater environments [1] - The unique lateral line system of fish, which senses water flow and pressure changes, offers a new approach for underwater robots [1] Development of Artificial Lateral Line System (ALLS) - Researchers have developed ALLS to simulate fish perception capabilities, applicable in flow field sensing, obstacle avoidance, and multi-fish coordination [1][4] - Accurate estimation of self-motion states, such as speed and trajectory, is crucial for autonomous intelligent robots [1] Proposed Framework for Self-Motion State Estimation - The new framework combines Proper Orthogonal Decomposition (POD) with physical modeling to estimate self-motion states [2][6] - The method extracts dominant modes related to fish movement from spatiotemporal pressure data collected by artificial lateral line sensors [2][6] Results and Validation - The model demonstrates robustness and generalization across various oscillation parameters, fish morphologies, and complex flow fields [4][14] - The research provides an efficient and reliable autonomous perception strategy for underwater biomimetic robots [4][14] Optimization of Sensor Layout - The study reveals redundancy in sensor arrangements and proposes optimized sensor layout strategies to reduce system complexity [11][13] - The optimal sensor distribution is validated through experiments, enhancing the understanding of fluid dynamics principles [13] Generalization to Complex Scenarios - The proposed method shows strong generalization capabilities in dynamic conditions and across different fish models [14] - It maintains robust state perception even in complex flow fields with wake interference, showcasing practical value [14] Conclusion and Future Directions - This research not only offers a solution for motion state estimation in robotic fish but also provides insights into the sensory mechanisms of real fish [16] - The integration of natural intelligence with engineering practices paves the way for the future development of intelligent, autonomous, and collaborative underwater robots [16]