Robust tactile object recognition in open-set scenarios using gaussian prototype learning

HIGHLIGHTS

• who: Wendong Zheng from the Beijing Institute of, China Tianjin University, China have published the article: Robust tactile object recognition in open-set scenarios using Gaussian prototype learning, in the Journal: (JOURNAL)
• what: Motivated by the recognition mechanism, the authors propose an uncertainty estimation model for open-set tactile object recognition in this work. A novel Gaussian Prototype Learning method is proposed, which is suitable for both unknown detection and known classification. Instead, the authors aim to enable robots will be able to continually expand the scope of the knowledge to learn new unknown classes . . .
  

   

  

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