Dynamic Manipulation of Flexible Objects Using a Deep Neural Network (ICRA 2019)

Title: Dynamic Manipulation of Flexible Objects with Torque Sequence Using a Deep Neural Network
Authors: Kento Kawaharazuka, Toru Ogawa, Juntaro Tamura, Cota Nabeshima
Accepted at ICRA2019
arxiv - https://arxiv.org/abs/1901.10142

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 model of a target object is not needed, and the object can be controlled as intended. We applied this method to manipulations of a rigid object, a flexible object with and without environmental contact, and a cloth, and verified its effectiveness.