首页|Study Results from Jiangnan University Broaden Understanding of Machine Learning (Hybrid 3d Printed Three-axis Force Sensor Aided By Machine Learning Decoupling )
Study Results from Jiangnan University Broaden Understanding of Machine Learning (Hybrid 3d Printed Three-axis Force Sensor Aided By Machine Learning Decoupling )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news originating from Wuxi, People's Repub lic of China, by NewsRx correspondents, research stated, "Identification of magn itude and orientation for spatially applied loading is highly desired in the fie lds of not only the machinery components but also human-machine interaction. Des pite the fact that the 3-axis force sensor with different structures has been pr oposed to measure the spatial force, there are still some common limitations inc luding the multi-step manufacturing-assembly processes and complicated testing o f decoupling calibration." Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Sixth Phase of Jiang su Province "333 High Level Talent Training Project" Second Level Talents, State Key Laboratory of Mechanics and Control of Mechanical Structures (Nanjing Unive rsity of Aeronautics and astronautics).
WuxiPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningJiangnan University
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