Exploring Learning To Propagate Interaction Effects For Modeling Deformable Linear Objects Dynamics
Exploring Learning To Propagate Interaction Effects For Modeling Deformable Linear Objects Dynamics reveals several interesting facts.
- Nahum Alvarez, Kimitoshi Yamazaki: “An Interactive Simulator for
- Tactile sensing feedback provides feasible solutions to robotic dexterous manipulation tasks. In this paper, we present a novel ...
- Learning to Manipulate Deformable Objects without Demonstrations
- Authors: Carolyn Matl and Ruzena Bajcsy. Paper link: https://arxiv.org/abs/2107.06924 Abstract:
- Every day, humans deal with extremely complex materials with seamless aptitude. The complexity of some of these materials lies ...
In-Depth Information on Learning To Propagate Interaction Effects For Modeling Deformable Linear Objects Dynamics
Presentation by Yuxuan at ICRA 2021. This video overviews our approach to This video accompanies our ICRA 2021 paper " Video accompanying the paper "Focused Adaptation of This is a working prototype built using constraint potentials for deriving forces (popularized by Terzopoulos and Teschner).
Paper accepted by IEEE Transactions on Robotics (T-RO). Project website: mingrui-yu.github.io/shape_control_DLO_2.
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