Findings from Nanchang University Has Provided New Data on Robotics (Human-exploratory-procedure-based Hybrid Measurement Fusion for Material Recognition)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotics. According to news reporting out of Jiangxi, People’s Republic of China, by NewsRx editors, research stated, “While various biomimetic robotic haptic sensors are often utilized to measure multifarious physical interactions to identify material properties under human exploratory procedures (EPs), traditional methods are unable to fuse well multimodal measurements under EPs. In order to solve this problem, an innovative hybrid joint group kernel sparse coding model for material recognition under EPs is proposed.”