Online Model Learning for Shape Control of Deformable Linear Objects
Yuxuan Yang,Johannes A. Stork,Todor Stoyanov,Yuxuan Yang,Johannes A. Stork,Todor Stoyanov
Traditional approaches to manipulating the state of deformable linear objects (DLOs) - i.e., cables, ropes - rely on model-based planning. However, constructing an accurate dynamic model of a DLO is challenging due to the complexity of interactions and a high number of degrees of freedom. This renders the task of achieving a desired DLO shape particularly difficult and motivates the use of model-f...
