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. 2209.05655
  4. Cited By
A Gaussian variational inference approach to motion planning

A Gaussian variational inference approach to motion planning

13 September 2022
Hongzhe Yu
Yongxin Chen
ArXivPDFHTML

Papers citing "A Gaussian variational inference approach to motion planning"

10 / 10 papers shown
Title
Efficient Gradient-Based Inference for Manipulation Planning in Contact Factor Graphs
Jeongmin Lee
Sunkyung Park
Minji Lee
Dongjun Lee
40
0
0
08 Mar 2025
Path Integral Control for Hybrid Dynamical Systems
Path Integral Control for Hybrid Dynamical Systems
Hongzhe Yu
Diana Frias Franco
Aaron M. Johnson
Yongxin Chen
24
0
0
01 Nov 2024
Sequential Gaussian Variational Inference for Nonlinear State Estimation
  applied to Robotic Applications
Sequential Gaussian Variational Inference for Nonlinear State Estimation applied to Robotic Applications
Min-Won Seo
Solmaz S. Kia
33
0
0
07 Jul 2024
Goal-Reaching Trajectory Design Near Danger with Piecewise Affine
  Reach-avoid Computation
Goal-Reaching Trajectory Design Near Danger with Piecewise Affine Reach-avoid Computation
Long Kiu Chung
Wonsuhk Jung
Chuizheng Kong
Shreyas Kousik
34
3
0
23 Feb 2024
Efficient Belief Road Map for Planning Under Uncertainty
Efficient Belief Road Map for Planning Under Uncertainty
Zhenyang Chen
Hongzhe Yu
Yongxin Chen
13
0
0
17 Sep 2023
A Unifying Variational Framework for Gaussian Process Motion Planning
A Unifying Variational Framework for Gaussian Process Motion Planning
Lucas Cosier
Rares Iordan
Sicelukwanda Zwane
Giovanni Franzese
James T. Wilson
M. Deisenroth
Alexander Terenin
Yasemin Bekiroglu
3DV
14
4
0
02 Sep 2023
Constrained Stein Variational Trajectory Optimization
Constrained Stein Variational Trajectory Optimization
Thomas Power
Dmitry Berenson
25
12
0
23 Aug 2023
Path Signatures for Diversity in Probabilistic Trajectory Optimisation
Path Signatures for Diversity in Probabilistic Trajectory Optimisation
Lucas Barcelos
Tin Lai
Rafael Oliveira
Paulo Borges
Fabio Ramos
37
6
0
08 Aug 2023
Entropy Regularized Motion Planning via Stein Variational Inference
Entropy Regularized Motion Planning via Stein Variational Inference
Alexander Lambert
Byron Boots
32
11
0
11 Jul 2021
Multimodal Trajectory Optimization for Motion Planning
Multimodal Trajectory Optimization for Motion Planning
Takayuki Osa
32
55
0
16 Mar 2020
1