Learning When to Trust a Dynamics Model for Planning in Reduced State Spaces

29 January 2020

Papers citing "Learning When to Trust a Dynamics Model for Planning in Reduced State Spaces"

6 / 6 papers shown

Title
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models A. LaGrassa Moonyoung Lee Oliver Kroemer 26 3 0 08 Jan 2024
Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening Li Duan G. Aragon-Camarasa AI4CE 19 1 0 30 Apr 2022
Differentiable Robotic Manipulation of Deformable Rope-like Objects Using Compliant Position-based Dynamics Fei Liu Entong Su Jingpei Lu Ming Li Michael C. Yip AI4CE 21 8 0 20 Feb 2022
Shape Control of Deformable Linear Objects with Offline and Online Learning of Local Linear Deformation Models Mingrui Yu Hanzhong Zhong Xiang-Yang Li OffRL AI4CE 38 41 0 23 Sep 2021
Challenges and Outlook in Robotic Manipulation of Deformable Objects Jihong Zhu A. Cherubini C. Dune D. Navarro-Alarcon Farshid Alambeigi ... Jens Kober Xiang-Yang Li Jia Pan Wenzhen Yuan Michael Gienger AI4CE 42 201 0 04 May 2021
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants Craig Knuth Glen Chou N. Ozay Dmitry Berenson 24 33 0 18 Oct 2020