Understanding Learning Deformable Linear Object Dynamics From A Single Trajectory
Exploring Learning Deformable Linear Object Dynamics From A Single Trajectory reveals several interesting facts. We present a physics-informed neural ODE for modeling the
Key Takeaways about Learning Deformable Linear Object Dynamics From A Single Trajectory
- Video accompanying the paper "Focused Adaptation of
- The paper is accepted in IROS 2015. (http://www.cs.columbia.edu/~yli/papers/YLI_IROS2015_Final.pdf) Author: Yinxiao Li ...
- Supplemental video for K. Zhang, B. Li, K. Hauser, and Y. Li. Particle-Grid Neural
- Paper accepted by IEEE Transactions on Robotics (T-RO). Project website: mingrui-yu.github.io/shape_control_DLO_2.
- Video attachement to submission to ICRA 2021 "An efficient approach to closed-loop shape control of
Detailed Analysis of Learning Deformable Linear Object Dynamics From A Single Trajectory
Presentation by Yuxuan at ICRA 2021. This video overviews our approach to modeling the This video accompanies our ICRA 2021 paper " Trajectory
Title: Presenting ReForm, a Robot
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