NODE IK: Solving Inverse Kinematics with Neural Ordinary Differential Equations for Path Planning

1 September 2022

Papers citing "NODE IK: Solving Inverse Kinematics with Neural Ordinary Differential Equations for Path Planning"

6 / 6 papers shown

Title
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning C. Acar K. P. Tee 53 7 0 14 Apr 2022
IKFlow: Generating Diverse Inverse Kinematics Solutions Barrett Ames Jeremy Morgan George Konidaris 40 36 0 17 Nov 2021
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds Hyeongju Kim Hyeonseung Lee Woohyun Kang Joun Yeop Lee N. Kim 3DPC 43 116 0 08 Jun 2020
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 154 881 0 02 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 434 5,157 0 19 Jun 2018
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,196 0 21 May 2015