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NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain
  Nonconvex Environments

NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments

14 May 2022
Fei Meng
Liangliang Chen
Han Ma
Jiankun Wang
Max Meng
ArXiv (abs)PDFHTML

Papers citing "NR-RRT: Neural Risk-Aware Near-Optimal Path Planning in Uncertain Nonconvex Environments"

21 / 21 papers shown
Title
Gaussian Belief Trees for Chance Constrained Asymptotically Optimal
  Motion Planning
Gaussian Belief Trees for Chance Constrained Asymptotically Optimal Motion Planning
Qi Heng Ho
Zachary Sunberg
Morteza Lahijanian
3DV
26
17
0
24 Feb 2022
Risk-Aware Motion Planning in Partially Known Environments
Risk-Aware Motion Planning in Partially Known Environments
Fernando S Barbosa
Bruno Lacerda
Paul Duckworth
Jana Tumova
Nick Hawes
118
26
0
23 Sep 2021
Risk Conditioned Neural Motion Planning
Risk Conditioned Neural Motion Planning
Xin Huang
Meng Feng
A. Jasour
Guy Rosman
B. Williams
54
7
0
04 Aug 2021
Chance-Constrained Motion Planning using Modeled Distance-to-Collision
  Functions
Chance-Constrained Motion Planning using Modeled Distance-to-Collision Functions
Jacob J. Johnson
Michael C. Yip
44
10
0
22 Jul 2021
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain
  Nonconvex Environments
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments
A. Jasour
Weiqiao Han
B. Williams
118
17
0
10 Jun 2021
Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive
  Navigation
Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation
Jinyoung Choi
C. Dance
Jung-Eun Kim
Seulbin Hwang
Kyungsik Park
UQCV
44
26
0
07 Apr 2021
Generative Adversarial Network based Heuristics for Sampling-based Path
  Planning
Generative Adversarial Network based Heuristics for Sampling-based Path Planning
Tianyi Zhang
Jiankun Wang
Max Meng
GAN
52
53
0
07 Dec 2020
MAGIC: Learning Macro-Actions for Online POMDP Planning
MAGIC: Learning Macro-Actions for Online POMDP Planning
Yiyuan Lee
Panpan Cai
David Hsu
122
22
0
07 Nov 2020
Learning Resilient Behaviors for Navigation Under Uncertainty
Learning Resilient Behaviors for Navigation Under Uncertainty
Tingxiang Fan
Pinxin Long
Wenxi Liu
Jia Pan
Ruigang Yang
Tianyi Zhou
42
20
0
22 Oct 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and
  Classical Motion Planners
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
A. H. Qureshi
Yinglong Miao
Anthony Simeonov
Michael C. Yip
PINN3DV
82
217
0
13 Jul 2019
Robot Motion Planning in Learned Latent Spaces
Robot Motion Planning in Learned Latent Spaces
Brian Ichter
Marco Pavone
58
152
0
26 Jul 2018
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under
  Uncertainty
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty
Panpan Cai
Yuanfu Luo
David Hsu
Wee Sun Lee
43
57
0
17 Feb 2018
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement
  Learning and Sampling-based Planning
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
Aleksandra Faust
Oscar Ramirez
Marek Fiser
Kenneth Oslund
Anthony G. Francis
James Davidson
Lydia Tapia
80
292
0
11 Oct 2017
Learning Sampling Distributions for Robot Motion Planning
Learning Sampling Distributions for Robot Motion Planning
Brian Ichter
James Harrison
Marco Pavone
51
353
0
16 Sep 2017
Provably Safe Robot Navigation with Obstacle Uncertainty
Provably Safe Robot Navigation with Obstacle Uncertainty
Brian Axelrod
L. Kaelbling
Tomás Lozano-Pérez
50
59
0
31 May 2017
Value Iteration Networks
Value Iteration Networks
Aviv Tamar
Yi Wu
G. Thomas
Sergey Levine
Pieter Abbeel
79
653
0
09 Feb 2016
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
306
25,059
0
30 Apr 2015
Monte Carlo Motion Planning for Robot Trajectory Optimization Under
  Uncertainty
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty
Lucas Janson
Edward Schmerling
Marco Pavone
67
102
0
30 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Asymptotically Optimal Sampling-based Kinodynamic Planning
Asymptotically Optimal Sampling-based Kinodynamic Planning
Yanbo Li
Zakary Littlefield
Kostas E. Bekris
70
267
0
10 Jul 2014
Sampling-based Algorithms for Optimal Motion Planning
Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
102
4,693
0
05 May 2011
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