Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2107.05842
Cited By
Motion Planning by Learning the Solution Manifold in Trajectory Optimization
13 July 2021
Takayuki Osa
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Motion Planning by Learning the Solution Manifold in Trajectory Optimization"
19 / 19 papers shown
XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
Shichao Fan
K. Wu
Zhengping Che
X. Wang
Di Wu
...
M. M. Li
Qingjie Liu
Shanghang Zhang
Min Wan
Yong Dai
251
2
0
04 Nov 2025
A Cross-Environment and Cross-Embodiment Path Planning Framework via a Conditional Diffusion Model
Mehran Ghafarian Tamizi
Homayoun Honari
Amir M. Soufi Enayati
Aleksey Nozdryn-Plotnicki
Homayoun Najjaran
193
0
0
21 Oct 2025
A Multimodal Stochastic Planning Approach for Navigation and Multi-Robot Coordination
Mark Gonzales
Ethan Oh
Joseph L. Moore
91
0
0
23 Sep 2025
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
International Conference on Learning Representations (ICLR), 2024
Songming Liu
Lingxuan Wu
Bangguo Li
Hengkai Tan
Huayu Chen
Zhengyi Wang
Ke Xu
Hang Su
Jun Zhu
367
364
0
10 Oct 2024
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
Conference on Robot Learning (CoRL), 2024
Piotr Kicki
Davide Tateo
Puze Liu
Jonas Guenster
Jan Peters
Krzysztof Walas
227
5
0
26 Aug 2024
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning
International Conference on Machine Learning (ICML), 2024
Takayuki Osa
Tatsuya Harada
OffRL
177
3
0
10 Jun 2024
Tube-RRT*: Efficient Homotopic Path Planning for Swarm Robotics Passing-Through Large-Scale Obstacle Environments
Pengda Mao
Quan Quan
161
11
0
14 Apr 2024
Model Predictive Trajectory Planning for Human-Robot Handovers
Thies Oelerich
C. Hartl-Nesic
Andreas Kugi
121
3
0
11 Apr 2024
BoundMPC: Cartesian Trajectory Planning with Error Bounds based on Model Predictive Control in the Joint Space
Thies Oelerich
F. Beck
C. Hartl-Nesic
Andreas Kugi
181
3
0
10 Jan 2024
Optimal Motion Planning using Finite Fourier Series in a Learning-based Collision Field
Yichang Feng
Jin Wang
Guodong Lu
269
0
0
14 Dec 2023
Bayes Net based highbrid Monte Carlo Optimization for Redundant Manipulator
Yichang Feng
Jin Wang
Haiyun Zhang
Guodong Lu
149
0
0
14 Dec 2023
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives
Annual Reviews in Control (ARC), 2023
Muhammad Kazim
JunGee Hong
Min-Gyeom Kim
Kwang-Ki K. Kim
287
32
0
22 Sep 2023
Optimal Virtual Tube Planning and Control for Swarm Robotics
Pengda Mao
Rao Fu
Quan Quan
160
23
0
22 Apr 2023
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Kang Xu
Yan Ma
Bingsheng Wei
Wei Li
272
3
0
24 Sep 2022
A Gaussian variational inference approach to motion planning
IEEE Robotics and Automation Letters (RA-L), 2022
Hongzhe Yu
Yongxin Chen
212
23
0
13 Sep 2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
IEEE International Conference on Robotics and Automation (ICRA), 2022
Julen Urain
Niklas Funk
Jan Peters
Georgia Chalvatzaki
DiffM
626
177
0
08 Sep 2022
Tensor Train for Global Optimization Problems in Robotics
Suhan Shetty
Teguh Santoso Lembono
Tobias Löw
Sylvain Calinon
416
19
0
10 Jun 2022
Learning Solution Manifolds for Control Problems via Energy Minimization
IEEE Robotics and Automation Letters (RA-L), 2022
Miguel Zamora
Roi Poranne
Stelian Coros
210
3
0
07 Mar 2022
Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual Information
Neural Networks (NN), 2021
Takayuki Osa
Voot Tangkaratt
Masashi Sugiyama
286
35
0
12 Mar 2021
1
