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快讯|我国首个深水油气水下机器人七功能机械手应用;“房建高空作业机器人”登国际铁路盛会;南加州大学研发 MOTIF 传感机械手等

Group 1 - China National Offshore Oil Corporation (CNOOC) has developed the country's first deep-water oil and gas ROV (remotely operated vehicle) with seven functions, which has successfully completed its first application in the Pearl River Mouth Basin project [1] - The ROV features high operational sensitivity, a wide range of motion, and a strong load capacity, capable of operating at depths of up to 7,000 meters and withstanding pressures of approximately 700 atmospheres [1] - The project team utilized a digital testing system to ensure smooth operation, conducting continuous automated testing for 10 hours and multiple rounds of verification including land functional tests and load tests [1] Group 2 - The world's first vacuum suction cup high-speed rail wall-climbing robot was showcased at the 12th World High-Speed Rail Conference in Beijing, developed by the Guangzhou Railway Group in collaboration with a robotics company [5][6] - This robot can navigate complex steel structures and perform tasks such as rust removal, inspection, and cleaning, with a modular design that enhances operational efficiency by 40% [6] Group 3 - The University of Southern California has developed the MOTIF robotic hand, which integrates thermal, inertial, and force sensors to enhance robotic dexterity [10] - Inspired by the human hand, the MOTIF hand can safely grasp high-temperature objects and accurately identify objects of the same shape but different weights, showing promising results in laboratory tests [10] - Future plans include integrating high-resolution fingertip sensors and optimizing algorithms for applications in home and industrial settings [10] Group 4 - A team from KAIST and Chungnam National University has developed a bionic sensory neural system for robotic hands, capable of simulating human-like responses to touch [13] - This system uses a new type of memristor to mimic biological functions, allowing the robotic hand to ignore repeated harmless stimuli while responding quickly to dangerous signals [13] - The technology has potential applications in micro-robots and prosthetics, aiming to enhance energy efficiency in these fields [13] Group 5 - Nagoya University has released Japan's first real-time AI dialogue system, J-Moshi, which can mimic natural Japanese conversation patterns [16] - J-Moshi captures short responses typical in Japanese dialogue, addressing limitations of traditional AI in simultaneous listening and speaking [16] - The system has practical applications for non-native speakers learning Japanese and is being explored for use in call centers, healthcare, and customer service [16]