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1806.01968
Cited By
Learning Implicit Sampling Distributions for Motion Planning
6 June 2018
Clark Zhang
Jinwook Huh
Daniel D. Lee
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Papers citing
"Learning Implicit Sampling Distributions for Motion Planning"
42 / 42 papers shown
Dual-Arm Whole-Body Motion Planning: Leveraging Overlapping Kinematic Chains
IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2025
Richard Cheng
Peter Werner
Carolyn Matl
138
0
0
11 Nov 2025
Warm-Starting Optimization-Based Motion Planning for Robotic Manipulators via Point Cloud-Conditioned Flow Matching
Sibo Tian
Minghui Zheng
X. Liang
3DPC
200
4
0
03 Oct 2025
Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments
Jiahui Yang
Jason Jingzhou Liu
Yulong Li
Youssef Khaky
Kenneth Shaw
Deepak Pathak
172
10
0
08 Sep 2025
Experience-based Optimal Motion Planning Algorithm for Solving Difficult Planning Problems Using a Limited Dataset
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
Ryota Takamido
Jun Ota
289
2
0
19 Mar 2025
Planning with Learned Subgoals Selected by Temporal Information
IEEE International Conference on Robotics and Automation (ICRA), 2024
Xi Huang
Gergely Sóti
C. Ledermann
Björn Hein
Torsten Kröger
173
4
0
26 Oct 2024
DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning
Conference on Robot Learning (CoRL), 2024
Huang Huang
Balakumar Sundaralingam
Arsalan Mousavian
Adithyavairavan Murali
Ken Goldberg
Dieter Fox
DiffM
368
26
0
22 Oct 2024
PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation
IEEE International Conference on Robotics and Automation (ICRA), 2024
Mingyo Seo
Yoonyoung Cho
Yoonchang Sung
Peter Stone
Yuke Zhu
Beomjoon Kim
DiffM
412
12
0
24 Sep 2024
Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation
Lukas Taus
Vrushabh Zinage
Takashi Tanaka
Richard Tsai
226
0
0
19 Sep 2024
Asymptotically Optimal Lazy Lifelong Sampling-based Algorithm for Efficient Motion Planning in Dynamic Environments
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Lu Huang
Jingwen Yu
Jiankun Wang
Xingjian Jing
349
3
0
10 Sep 2024
Multi-Goal Motion Memory
Yuanjie Lu
Dibyendu Das
Erion Plaku
Xuesu Xiao
414
5
0
16 Jul 2024
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller
Mingxin Yu
Chenning Yu
M.-Mahdi Naddaf-Sh
Devesh Upadhyay
Sicun Gao
Chuchu Fan
310
11
0
01 Apr 2024
Visualizing High-Dimensional Configuration Spaces: A Comprehensive Analytical Approach
Jorge Ocampo Jimenez
Wael Suleiman
320
6
0
18 Dec 2023
Neural-Network-Driven Method for Optimal Path Planning via High-Accuracy Region Prediction
Yuan Huang
Cheng-Tien Tsao
Tianyu Shen
Hee-Hyol Lee
183
3
0
15 Aug 2023
Learning from Local Experience: Informed Sampling Distributions for High Dimensional Motion Planning
Keita Kobashi
Changhao Wang
Yu Zhao
Hsien-Chung Lin
Masayoshi Tomizuka
234
2
0
15 Jun 2023
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning
Sha Luo
Lambert Schomaker
298
20
0
11 Jun 2023
Non-Trivial Query Sampling For Efficient Learning To Plan
S. Joshi
Panagiotis Tsiotras
227
0
0
12 Mar 2023
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks
IEEE Transactions on robotics (TRO), 2023
Piotr Kicki
Puze Liu
Davide Tateo
Haitham Bou-Ammar
Krzysztof Walas
Piotr Skrzypczyñski
Jan Peters
347
23
0
11 Jan 2023
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning
Conference on Robot Learning (CoRL), 2022
Yoonchang Sung
Zizhao Wang
Peter Stone
189
4
0
15 Nov 2022
Motion Policy Networks
Conference on Robot Learning (CoRL), 2022
Adam Fishman
Adithya Murali
Clemens Eppner
Bryan N. Peele
Byron Boots
Dieter Fox
340
100
0
21 Oct 2022
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2022
Chen-Ping Yu
Sicun Gao
339
62
0
17 Oct 2022
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
Neural Information Processing Systems (NeurIPS), 2022
Ruipeng Zhang
Chenning Yu
Jingkai Chen
Chuchu Fan
Sicun Gao
AI4CE
235
25
0
16 Oct 2022
Learning-Based Motion Planning with Mixture Density Networks
IEEE International Conference on Robotics and Automation (ICRA), 2022
Yinghan Wang
Xiaoming Duan
Jianping He
3DPC
215
1
0
07 Jun 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
Thomas Power
Dmitry Berenson
279
42
0
10 May 2022
Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation
Yunho Kim
Chanyoung Kim
Jemin Hwangbo
313
14
0
19 Apr 2022
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning
IEEE International Conference on Robotics and Automation (ICRA), 2021
C. Acar
K. P. Tee
231
13
0
14 Apr 2022
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Naman Shah
Siddharth Srivastava
316
19
0
02 Feb 2022
Learning-based Fast Path Planning in Complex Environments
Jianbang Liu
Baopu Li
Tingguang Li
Wenzheng Chi
Jiankun Wang
Max Meng
200
4
0
19 Oct 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning
Hao-Lun Hsu
Qiuhua Huang
Sehoon Ha
OffRL
243
13
0
29 Sep 2021
Guaranteed Rejection-free Sampling Method Using Past Behaviours for Motion Planning of Autonomous Systems
T. Enevoldsen
R. Galeazzi
401
0
0
29 Sep 2021
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning
IEEE International Conference on Robotics and Automation (ICRA), 2020
Jinwook Huh
Volkan Isler
Daniel D. Lee
3DV
217
25
0
10 Dec 2020
Learning and Using Abstractions for Robot Planning
Naman Shah
Abhyudaya Srinet
Siddharth Srivastava
289
3
0
01 Dec 2020
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions
IEEE International Conference on Robotics and Automation (ICRA), 2020
Constantinos Chamzas
Zachary Kingston
Carlos Quintero-Peña
Anshumali Shrivastava
Lydia E. Kavraki
368
51
0
29 Oct 2020
Asymptotically Optimal Sampling-Based Motion Planning Methods
Jonathan Gammell
Marlin P. Strub
432
6
0
22 Sep 2020
Predicting Sample Collision with Neural Networks
Tuan Tran
Jory Denny
Chinwe Ekenna
121
9
0
30 Jun 2020
Graph Neural Networks for Motion Planning
Arbaaz Khan
Alejandro Ribeiro
Vijay Kumar
Anthony G. Francis
293
37
0
11 Jun 2020
A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment
Piotr Kicki
Tomasz Gawron
Piotr Skrzypczyñski
SSL
145
4
0
02 Mar 2020
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
IEEE International Conference on Robotics and Automation (ICRA), 2019
Brian Ichter
Edward Schmerling
T. Lee
Aleksandra Faust
266
81
0
08 Oct 2019
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Rahul Kumar
Aditya Mandalika
Sanjiban Choudhury
S. Srinivasa
231
70
0
22 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
IEEE Transactions on robotics (TRO), 2019
A. H. Qureshi
Yinglong Miao
Anthony Simeonov
Michael C. Yip
PINN
3DV
556
298
0
13 Jul 2019
A novel approach to model exploration for value function learning
Zlatan Ajanović
Halil Beglerovic
B. Lacevic
292
1
0
06 Jun 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
International Conference on Learning Representations (ICLR), 2019
Binghong Chen
Bo Dai
Qinjie Lin
Guo Ye
Han Liu
Le Song
697
60
0
28 Feb 2019
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems
Journal of Statistical Mechanics: Theory and Experiment (JSTAT), 2018
Jung-Su Ha
Young-Jin Park
Hyeok-Joo Chae
Soon-Seo Park
Han-Lim Choi
BDL
270
27
0
05 Jul 2018
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