Group 1 - The article discusses advancements in biomimetic technology, highlighting the development of the FlowSight sensor that enables underwater robots to navigate like fish by sensing water flow changes [1] - A new brain-machine interface flexible microelectrode implantation robot named CyberSense has been developed, which can precisely implant microelectrodes into animal brains, enhancing the efficiency and success rate of brain-machine interface research [2] - The successful first flight of the Rainbow-YH1000 unmanned logistics aircraft is reported, showcasing its capabilities for long-range operations up to 1500 kilometers and adaptability to various takeoff and landing environments [3] - The AG600 amphibious aircraft has completed its first adaptive flight in the Daxing'anling region, marking a significant step in familiarizing the aircraft with local geographical and climatic conditions [4]

Core Viewpoint - The article discusses the development of the FlowSight sensor, inspired by the lateral line system of fish, which enables underwater robots to perceive water flow accurately for navigation and environmental monitoring tasks [1][3]. Group 1: FlowSight Sensor Development - The FlowSight sensor is a biomimetic lateral line sensor that utilizes flexible silicone whiskers to sense water flow [3]. - It captures deformation information of the whiskers using a built-in high-definition camera, which is processed through a deep learning model to determine water flow speed and direction [3]. - The sensor achieves a relative error of 3.05% in measuring water flow speed and 0.98% in measuring water flow direction [3]. Group 2: Integration with Underwater Robots - The FlowSight sensor has been integrated into a biomimetic underwater robot named RoboDact, enabling it to perform closed-loop motion control based on water flow perception [4]. - RoboDact can navigate upstream and adjust its posture dynamically, providing new solutions for underwater exploration and ecological monitoring [4][5]. - The integration allows RoboDact to adapt its speed and direction according to various complex underwater environments [5]. Group 3: Research and Funding - The research work on FlowSight was published in the IEEE Transactions on Robotics and received funding from several national projects, including the National Key R&D Program and the National Natural Science Foundation [1][6].

Core Insights - The Chinese Academy of Sciences has developed an innovative biomimetic lateral line sensor called FlowSight, inspired by fish, to enhance underwater robots' ability to perceive water flow accurately [4][5] - FlowSight enables autonomous navigation and environmental monitoring in complex aquatic environments by mimicking the natural sensing capabilities of fish [4] - The sensor utilizes flexible silicone whiskers to detect water flow, capturing deformation information through a built-in high-definition camera and analyzing it with deep learning models [5] Technology and Innovation - FlowSight achieves efficient vector sensing of water flow with a relative error of 3.05% for speed measurement and 0.98% for direction measurement [5] - The sensor has been integrated into a biomimetic underwater robot, RoboDact, which successfully demonstrated closed-loop motion control based on water flow perception [5] - The research team's findings have been published in the IEEE Transactions on Robotics, highlighting the significance of this technological advancement [5]