ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.05767
  4. Cited By
Motion Planning Networks
v1v2 (latest)

Motion Planning Networks

14 June 2018
A. H. Qureshi
Anthony Simeonov
M. J. Bency
Michael C. Yip
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Motion Planning Networks"

21 / 71 papers shown
Title
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for
  Mobile Manipulation
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation
Fei Xia
Chengshu Li
Roberto Martín-Martín
Or Litany
Alexander Toshev
Silvio Savarese
79
79
0
18 Aug 2020
Dynamically Constrained Motion Planning Networks for Non-Holonomic
  Robots
Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots
Jacob J. Johnson
Linjun Li
Fei Liu
A. H. Qureshi
Michael C. Yip
65
29
0
12 Aug 2020
KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real
  Transfer for Robotics Manipulation
KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation
En Yen Puang
K. P. Tee
Wei Jing
3DPC
86
42
0
28 Jul 2020
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural
  Network Controllers via Semidefinite Programming
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming
Haimin Hu
Mahyar Fazlyab
M. Morari
George J. Pappas
85
76
0
16 Apr 2020
One-shot path planning for multi-agent systems using fully convolutional
  neural network
One-shot path planning for multi-agent systems using fully convolutional neural network
Tomas Kulvicius
S. Herzog
Timo Lüddecke
M. Tamosiunaite
Florentin Wörgötter
21
3
0
01 Apr 2020
Generation of Paths in a Maze using a Deep Network without Learning
Generation of Paths in a Maze using a Deep Network without Learning
Tomas Kulvicius
S. Herzog
M. Tamosiunaite
Florentin Wörgötter
32
3
0
01 Apr 2020
The State of Lifelong Learning in Service Robots: Current Bottlenecks in
  Object Perception and Manipulation
The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation
S. Kasaei
J. Melsen
Floris van Beers
Christiaan Steenkist
K. Vončina
81
12
0
18 Mar 2020
Efficient Exploration in Constrained Environments with Goal-Oriented
  Reference Path
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
Keita Ota
Y. Sasaki
Devesh K. Jha
Yusuke Yoshiyasu
Asako Kanezaki
110
18
0
03 Mar 2020
A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like
  Vehicles Maneuvering in Urban Environment
A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment
Piotr Kicki
Tomasz Gawron
Piotr Skrzypczyñski
SSL
19
4
0
02 Mar 2020
Probably Approximately Correct Vision-Based Planning using Motion
  Primitives
Probably Approximately Correct Vision-Based Planning using Motion Primitives
Sushant Veer
Anirudha Majumdar
3DV
77
21
0
28 Feb 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning
Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu
Thanard Kurutach
Christine Tung
Pieter Abbeel
Aviv Tamar
87
48
0
27 Feb 2020
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson
Or Avner
E. Groshev
Aviv Tamar
81
41
0
27 Feb 2020
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
128
220
0
13 Jul 2019
Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction
  and Optimization
Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization
Tom Jurgenson
E. Groshev
Aviv Tamar
40
7
0
12 Jun 2019
Harnessing Reinforcement Learning for Neural Motion Planning
Harnessing Reinforcement Learning for Neural Motion Planning
Tom Jurgenson
Aviv Tamar
OOD
104
65
0
01 Jun 2019
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via
  Oracle Imitation
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation
M. J. Bency
A. H. Qureshi
Michael C. Yip
58
86
0
25 Apr 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation
  Trees
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
Binghong Chen
Bo Dai
Qinjie Lin
Guo Ye
Han Liu
Le Song
115
52
0
28 Feb 2019
Learning-Based Proxy Collision Detection for Robot Motion Planning
  Applications
Learning-Based Proxy Collision Detection for Robot Motion Planning Applications
Nikhil Das
Michael C. Yip
57
92
0
21 Feb 2019
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic
  Motion Planning
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning
Holger Banzhaf
Paul Sanzenbacher
Ulrich Baumann
Johann Marius Zöllner
52
20
0
03 Dec 2018
Deeply Informed Neural Sampling for Robot Motion Planning
Deeply Informed Neural Sampling for Robot Motion Planning
A. H. Qureshi
Michael C. Yip
65
72
0
26 Sep 2018
Robot Motion Planning in Learned Latent Spaces
Robot Motion Planning in Learned Latent Spaces
Brian Ichter
Marco Pavone
89
152
0
26 Jul 2018
Previous
12