8月14日， 国际学术顶刊《Science Robotics》杂志发表了哈尔 滨工程大学船舶工程学院 李国瑞课题组的最新 研究成果—— "塑化电液软体机器人深海自主翱翔" （Plasticized electrohydraulic robot autopilots in the deep sea） 。 这项研究 由哈工程联合浙江大学、中国船舶科学研究中心等团队历经多年完成， 并在1369米深度冷泉区和4070 米深度海山区等多个海域开展了探测应用， 成果还同步登上了《Science》官网首页专题报道。 据悉 ，这款电液驱动深海软体机器人， 身形小巧，长约32厘米，翼展宽约18厘米，重量仅670克，全身质地柔 软。这款机器人无需耐压外壳，就能承受全海深静水压力，其内部的控制电路、传感器、电池等元件都被集成在 软体机身中。 在功能上，这款机器人通过自带的小型化能源控制系统实现电液单元协同驱动， 当软基体中的电子器件产生高压 电信号时，柔性电液单元会在电压信号的激励下产生类似流体静力骨骼的变形模式， 能在电压信号激励下完成直 行、转弯等多种轨迹运动。它还集成了微型深海光学感知系统 ，可以在深海极端环境下 实时感知自 ...

Group 1 - The core achievement of Harbin Engineering University is the development of an electro-hydraulic deep-sea soft robot, which has been tested in various deep-sea environments, including depths of 1369 meters and 4070 meters [2] - The robot utilizes a miniaturized energy control system for electro-hydraulic unit coordination, enabling it to perform various movements in deep-sea conditions [2] - The soft robot is equipped with a micro deep-sea optical perception system, allowing it to sense its motion state and environmental targets in extreme underwater conditions [2] Group 2 - Figure Company showcased its humanoid robot, Figure 02, which can autonomously fold clothes, utilizing the Helix model for visual language action [5] - The Helix model allows the robot to learn directly from real-world scenarios without relying on rigid fabric models, enhancing its operational capabilities [5] - The robot's neural network has transitioned from merely moving boxes to accurately picking up clothes and folding them through a data-driven approach [5] Group 3 - The 2025 World Robot Conference in Beijing resulted in significant industry promotion, with over 19,000 robots and related products sold, generating sales exceeding 200 million yuan [9] - The conference featured 220 renowned domestic and international robot companies, showcasing 1569 products and securing a total financing amount of 1.481 billion yuan [9] - New initiatives were launched during the conference, including talent cultivation plans and the release of research reports on the development trends of embodied intelligent robots [9] Group 4 - A new data-driven framework called Bioinspired Predictive Slip Control (BPSC) was proposed to enhance robotic manipulation by actively suppressing slip during operations [12] - The BPSC framework integrates neural network predictions with model predictive control, significantly improving stability and adaptability in complex handling tasks [12] - Experimental results indicate that the slip suppression efficiency of this method is 82% higher than traditional gripping force control methods [12] Group 5 - Ninebot Company reported a 76.14% year-on-year increase in revenue, reaching 11.742 billion yuan, and a net profit growth of 108.45%, amounting to 1.242 billion yuan [15] - The company has accumulated 3,790 patents and is actively involved in standardization activities, filling several industry gaps across various technology fields [15] - Key technologies developed by Ninebot include sensorless drive technology and autonomous navigation systems, which have been widely applied across multiple product lines [15]