Learning-Based Motion Planning with Mixture Density Networks

7 June 2022

Papers citing "Learning-Based Motion Planning with Mixture Density Networks"

9 / 9 papers shown

Title
Motion Policy Networks Adam Fishman Adithya Murali Clemens Eppner Bryan N. Peele Byron Boots Dieter Fox 75 57 0 21 Oct 2022
Learning Obstacle Representations for Neural Motion Planning Robin Strudel Ricardo Garcia Pinel Justin Carpentier J. Laumond Ivan Laptev Cordelia Schmid SSL 44 35 0 25 Aug 2020
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 74 217 0 13 Jul 2019
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation M. J. Bency A. H. Qureshi Michael C. Yip 42 86 0 25 Apr 2019
Deeply Informed Neural Sampling for Robot Motion Planning A. H. Qureshi Michael C. Yip 39 71 0 26 Sep 2018
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 125 1,066 0 06 Oct 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,309 0 02 Dec 2016
Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic Jonathan Gammell S. Srinivasa Timothy D. Barfoot 62 841 0 08 Apr 2014
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 102 4,691 0 05 May 2011