Differentiable Gaussian Process Motion Planning

22 July 2019

Papers citing "Differentiable Gaussian Process Motion Planning"

19 / 19 papers shown

Title
Continuous-Time State Estimation Methods in Robotics: A Survey William Talbot Julian Nubert Turcan Tuna Cesar Cadena Frederike Dumbgen J. Tordesillas Timothy D. Barfoot Marco Hutter 82 8 0 06 Nov 2024
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 56 1 0 13 Sep 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Zackory M. Erickson David Held David Held 43 4 0 08 Feb 2024
Optimal Motion Planning using Finite Fourier Series in a Learning-based Collision Field Yichang Feng Jin Wang Guodong Lu 80 0 0 14 Dec 2023
Differentiable Robust Model Predictive Control Alex Oshin Hassan Almubarak Evangelos A. Theodorou 22 5 0 16 Aug 2023
Learning to Optimize in Model Predictive Control Jacob Sacks Byron Boots 45 22 0 05 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 29 21 0 05 Dec 2022
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Chen Lv 46 92 0 21 Jul 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 52 77 0 19 Jul 2022
Automatic Parameter Adaptation for Quadrotor Trajectory Planning Xin Zhou Chao Xu Fei Gao 29 4 0 13 Jul 2022
Coarse-to-Fine Q-attention with Learned Path Ranking Stephen James Pieter Abbeel 45 15 0 04 Apr 2022
Tutorial on amortized optimization Brandon Amos OffRL 84 44 0 01 Feb 2022
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback Zizhao Wang Xuesu Xiao Garrett A. Warnell Peter Stone 36 44 0 22 Aug 2021
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 45 16 0 04 Aug 2021
Robot Program Parameter Inference via Differentiable Shadow Program Inversion Bastian Alt Darko Katic Rainer Jäkel A. Bozcuoğlu Michael Beetz 35 10 0 26 Mar 2021
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization Jinyun Zhou Rui Wang Xu Liu Yifei Jiang Shu Jiang J. Tao Jinghao Miao Shiyu Song 51 35 0 02 Mar 2021
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies Haoxin Ma Justin S. Smith Patricio A. Vela 46 4 0 02 Mar 2021
Joint Sampling and Trajectory Optimization over Graphs for Online Motion Planning Kalyan Vasudev Alwala Mustafa Mukadam 32 14 0 13 Nov 2020
APPLD: Adaptive Planner Parameter Learning from Demonstration Xuesu Xiao Bo Liu Garrett A. Warnell Jonathan R. Fink Peter Stone 37 73 0 31 Mar 2020