Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models

22 November 2017

Papers citing "Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models"

8 / 8 papers shown

Title
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi BDL 51 27 0 05 Jul 2018
Learning Sampling Distributions for Robot Motion Planning Brian Ichter James Harrison Marco Pavone 39 353 0 16 Sep 2017
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference Mustafa Mukadam Jing Dong Xinyan Yan F. Dellaert Byron Boots GP 45 216 0 24 Jul 2017
Deep Visual Foresight for Planning Robot Motion Chelsea Finn Sergey Levine 111 784 0 03 Oct 2016
A Topology-Guided Path Integral Approach for Stochastic Optimal Control Jung-Su Ha Han-Lim Choi 33 11 0 19 Oct 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 439 16,940 0 20 Dec 2013
Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions Lucas Janson Edward Schmerling Ashley Clark Marco Pavone 61 528 0 15 Jun 2013
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 97 4,689 0 05 May 2011