Mar 28, 2022 · In this work, we deal with this challenge by proposing a hybrid offline-online method to learn the dynamics of cables in a robust and data-efficient manner.

Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks. Contents: Simulation Code. Simulation code is avaiable here.

Mar 22, 2022 · In the offline phase, we adopt Graph. Neural Network (GNN) to learn the deformation dynamics purely from the simulation data. Then a linear ...

Feb 23, 2022 · In the offline phase, we adopt Graph. Neural Network (GNN) to learn the deformation dynamics purely from the simulation data. Then a linear ...

In the offline phase, we adopt Graph Neural Network (GNN) to learn the deformation dynamics purely from the simulation data. Then a linear residual model is ...

Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks. Changhao Wang, Yuyou Zhang, Xiang Zhang, Zheng Wu, Xinghao ...

The proposed cable manipulation framework combines offline model learning with online residual learning. In the offline phase, we trained a GNN with simulated ...

Offline-Online Learning of Deformation Model for Cable Manipulation With Graph Neural Networks · Changhao WangYuyou Zhang +5 authors. M. Tomizuka. Engineering ...

Offline-online learning of deformation model for cable manipulation with graph neural networks. C Wang, Y Zhang, X Zhang, Z Wu, X Zhu, S Jin, T Tang, M Tomizuka.

Tomizuka, “Offline-online learning of deformation model for cable manipulation with graph neural networks,” IEEE Robotics and. Automation Letters, 2022. [7] ...