Learning Implicit Priors for Motion Optimization

Learning Implicit Priors for Motion Optimization

11 April 2022

Alexander Lambert

Georgia Chalvatzaki

Jan Peters

Papers citing "Learning Implicit Priors for Motion Optimization"

18 / 18 papers shown

Title
Model Tensor Planning An T. Le K. Nguyen Minh Nhat Vu João Carvalho Jan Peters 25 0 0 02 May 2025
Efficient Gradient-Based Inference for Manipulation Planning in Contact Factor Graphs Jeongmin Lee Sunkyung Park Minji Lee Dongjun Lee 43 0 0 08 Mar 2025
M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes Sixu Yan Zeyu Zhang Muzhi Han Zaijin Wang Qi Xie Zhitian Li Zhehan Li Hangxin Liu Xinggang Wang Song-Chun Zhu 52 4 0 15 Oct 2024
Preconditioners for the Stochastic Training of Implicit Neural Representations Shin-Fang Chng Hemanth Saratchandran Simon Lucey 16 0 0 13 Feb 2024
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks Mehdi Heydari Shahna Seyed Adel Alizadeh Kolagar J. Mattila 13 4 0 04 Feb 2024
Accelerating Motion Planning via Optimal Transport An T. Le Georgia Chalvatzaki Armin Biess Jan Peters OT 11 11 0 27 Sep 2023
Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models Sumeet Singh Stephen Tu Vikas Sindhwani DiffM 15 8 0 11 Sep 2023
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 21 4 0 02 Sep 2023
Constrained Stein Variational Trajectory Optimization Thomas Power Dmitry Berenson 25 12 0 23 Aug 2023
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models João Carvalho An T. Le Mark Baierl Dorothea Koert Jan Peters DiffM 24 99 0 03 Aug 2023
Collision-free Motion Generation Based on Stochastic Optimization and Composite Signed Distance Field Networks of Articulated Robot Baolin Liu G. Jiang Fei Zhao Xue Mei 16 13 0 07 Jun 2023
Hierarchical Policy Blending As Optimal Transport An T. Le Kay Hansel Jan Peters Georgia Chalvatzaki OT 27 7 0 04 Dec 2022
Hierarchical Policy Blending as Inference for Reactive Robot Control Kay Hansel Julen Urain Jan Peters Georgia Chalvatzaki 22 15 0 14 Oct 2022
A Gaussian variational inference approach to motion planning Hongzhe Yu Yongxin Chen 32 16 0 13 Sep 2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion Julen Urain Niklas Funk Jan Peters Georgia Chalvatzaki DiffM 47 118 0 08 Sep 2022
Learning Stable Vector Fields on Lie Groups Julen Urain Davide Tateo Jan Peters 19 17 0 22 Oct 2021
Entropy Regularized Motion Planning via Stein Variational Inference Alexander Lambert Byron Boots 32 11 0 11 Jul 2021
Multimodal Trajectory Optimization for Motion Planning Takayuki Osa 32 55 0 16 Mar 2020