Category-Association Based Similarity Matching for Novel Object Pick-and-Place Task
Hao Chen,
Takuya Kiyokawa,
Weiwei Wan
et al.
Abstract:Robotic pick-and-place has been researched for a long time to cope with uncertainty of novel objects and changeable environments. Past works mainly focus on learningbased methods to achieve high precision. However, they have difficulty being generalized for the limitation of specified training models. To break through this drawback of learning-based approaches, we introduce a new perspective of similarity matching between novel objects and a known database based on categoryassociation to achieve pick-and-place… Show more
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