Robotics & Machine Learning Daily News2024,Issue(Feb.13) :38-39.DOI:10.1002/advs.202306832

Study Findings on Robotics Are Outlined in Reports from Chinese Academy of Sciences (Magnetic Tactile Sensor With Bionic Hair Array for Sliding Sensing and Object Recognition)

Robotics & Machine Learning Daily News2024,Issue(Feb.13) :38-39.DOI:10.1002/advs.202306832

Study Findings on Robotics Are Outlined in Reports from Chinese Academy of Sciences (Magnetic Tactile Sensor With Bionic Hair Array for Sliding Sensing and Object Recognition)

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Abstract

Investigators publish new report on Robotics. According to news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Due to the high application value in intelligent robots, tactile sensors with large sensing area and multi-dimensional sensing ability have attracted the attention of researchers in recent years. Inspired by bionics of hairs on human skin, a flexible tactile sensor based on magnetic cilia array is developed, showing extremely high sensitivity and stability.” Financial supporters for this research include National Key Research and Development Program of China, National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation. The news reporters obtained a quote from the research from the Chinese Academy of Sciences, “The upper layers of the sensor are multiple magnetic cilia containing magnetic particles, while the lower layer is a serpentine flexible circuit board with a magnetic sensor array. When magnetic cilia are bent under force, the magnetic sensor array can detect changes in the magnetic field, thereby the magnitude and direction of external force can be obtained. The proposed sensor has a resolution of 0.2 mN with a working range of 0-19.5 mN and can distinguish the direction of external force. The large sensing area and short response time make this sensor suitable for sliding tactile detection, and experiments show that the sensor can be also applied in object recognition with a success accuracy of 97%. In addition to the shape of objects, the sensor can identify whether there is magnetism inside objects, making it of significant value in intelligent robots and modern medicine. A biomimetic magnetic tactile sensor with a magnetic hair array is developed, which can accurately measure the magnitude of external forces with a remarkable resolution of 0.2 mN within a range of 0-19.5 mN. It excels in sliding sensing and object recognition with an accuracy rate of 97%.”

Key words

Beijing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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