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Cota Nabeshima

4 accepted papers

2019

Dynamic Manipulation of Flexible Objects with Torque Sequence Using a Deep Neural Network

ICRA 2019poster

For dynamic manipulation of flexible objects, we propose an acquisition method of a flexible object motion equation model using a deep neural network and a control method to realize a target state by calculating an optimized time-series joint torque command. By using the proposed method, any physics…

Cited by 34SourceScholar
2019

Dynamic Task Control Method of a Flexible Manipulator Using a Deep Recurrent Neural Network

IROS 2019poster

The flexible body has advantages over the rigid body in terms of environmental contact thanks to its underactuation. On the other hand, when applying conventional control methods to realize dynamic tasks with the flexible body, there are two difficulties: accurate modeling of the flexible body and t…

Cited by 8SourceScholar