Automatic Learning System for Object Function Points from Random Shape Generation and Physical Validation
Kosuke Takeuchi,Iori Yanokura,Yohei Kakiuchi,Kei Okada,Masayuki Inaba,Kosuke Takeuchi,Iori Yanokura,Yohei Kakiuchi,Kei Okada,Masayuki Inaba
In this paper, we aim to recognize function points of category-agnostic objects and perform object manipulation. To recognize function points of various shapes, it is necessary to train with a large amount of training data. Also, it is necessary to take into account not only visual information but also physics and interaction between objects. To solve these problems, we are working on the automati...
