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. 2309.00854
  4. Cited By
A Unifying Variational Framework for Gaussian Process Motion Planning

A Unifying Variational Framework for Gaussian Process Motion Planning

2 September 2023
Lucas Cosier
Rares Iordan
Sicelukwanda Zwane
Giovanni Franzese
James T. Wilson
M. Deisenroth
Alexander Terenin
Yasemin Bekiroglu
    3DV
ArXivPDFHTML

Papers citing "A Unifying Variational Framework for Gaussian Process Motion Planning"

2 / 2 papers shown
Title
Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization
Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization
Benjamin Alt
Claudius Kienle
Darko Katic
Rainer Jäkel
Michael Beetz
49
1
0
13 Sep 2024
A Gaussian variational inference approach to motion planning
A Gaussian variational inference approach to motion planning
Hongzhe Yu
Yongxin Chen
32
16
0
13 Sep 2022
1