Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference

24 July 2017

Papers citing "Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference"

48 / 48 papers shown

Title
SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer Kang Ding Chunxuan Jiao Yunze Hu Kangjie Zhou Pengying Wu Yao Mu Chang Liu 7 0 0 21 May 2025
PyRoki: A Modular Toolkit for Robot Kinematic Optimization Chung Min Kim Brent Yi Hongsuk Choi Yi Ma Ken Goldberg Angjoo Kanazawa 47 2 0 06 May 2025
Kinodynamic Trajectory Following with STELA: Simultaneous Trajectory Estimation & Local Adaptation Edgar Granados Sumanth Tangirala Kostas E. Bekris 35 0 0 28 Apr 2025
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference Jiayun Li Kay Pompetzki An T. Le Haolei Tong Jan Peters Georgia Chalvatzaki 36 0 0 07 Apr 2025
Probabilistic approach to feedback control enhances multi-legged locomotion on rugged landscapes Juntao He Baxi Chong Jianfeng Lin Zhaochen Xu Hosain Bagheri Esteban Flores Daniel I. Goldman 47 3 0 11 Nov 2024
Continuous-Time State Estimation Methods in Robotics: A Survey William Talbot Julian Nubert Turcan Tuna Cesar Cadena Frederike Dumbgen J. Tordesillas T. Barfoot Marco Hutter 69 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 51 1 0 13 Sep 2024
Robust Dynamic Control Barrier Function Based Trajectory Planning for Mobile Manipulator Lihao Xu Xiaogang Xiong Bai Yang Yunjiang Lou 36 0 0 22 Jun 2024
Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking Clayton W. Ramsey Zachary Kingston Wil Thomason Lydia E. Kavraki 29 5 0 04 Jun 2024
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks Mehdi Heydari Shahna Seyed Adel Alizadeh Kolagar Jouni Mattila 24 4 0 04 Feb 2024
Optimal Motion Planning using Finite Fourier Series in a Learning-based Collision Field Yichang Feng Jin Wang Guodong Lu 61 0 0 14 Dec 2023
Real-time Batched Distance Computation for Time-Optimal Safe Path Tracking Shohei Fujii Quang Pham 40 0 0 21 Sep 2023
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks Piotr Kicki Puze Liu Davide Tateo Haitham Bou-Ammar Krzysztof Walas Piotr Skrzypczyñski Jan Peters 30 15 0 11 Jan 2023
Hierarchical Policy Blending As Optimal Transport An T. Le Kay Hansel Jan Peters Georgia Chalvatzaki OT 40 7 0 04 Dec 2022
Neural Grasp Distance Fields for Robot Manipulation Thomas Weng David Held Franziska Meier Mustafa Mukadam 18 45 0 04 Nov 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 26 15 0 07 Oct 2022
A Gaussian variational inference approach to motion planning Hongzhe Yu Yongxin Chen 37 16 0 13 Sep 2022
Continuous Planning for Inertial-Aided Systems Mitchell Usayiwevu F. Sukkar C. Yoo Robert Fitch Teresa Vidal-Calleja 17 2 0 12 Sep 2022
Locally Optimal Estimation and Control of Cable Driven Parallel Robots using Time Varying Linear Quadratic Gaussian Control Gerry Chen S. Hutchinson F. Dellaert 14 15 0 01 Aug 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 34 76 0 19 Jul 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 35 29 0 10 May 2022
Simultaneous Control and Trajectory Estimation for Collision Avoidance of Autonomous Robotic Spacecraft Systems Matthew King-Smith Panagiotis Tsiotras F. Dellaert 14 5 0 28 Apr 2022
Learning Implicit Priors for Motion Optimization Julen Urain An T. Le Alexander Lambert Georgia Chalvatzaki Byron Boots Jan Peters 28 24 0 11 Apr 2022
Distributing Collaborative Multi-Robot Planning with Gaussian Belief Propagation Aalok Patwardhan Riku Murai Andrew J. Davison 19 25 0 22 Mar 2022
BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning Jaymini Kamat Joaquim Ortiz de Haro Marc Toussaint Florian T. Pokorny A. Orthey 18 11 0 03 Mar 2022
Adaptive Gaussian Process based Stochastic Trajectory Optimization for Motion Planning Yichang Feng Haiyun Zhang Jin Wang Guodong Lu 33 30 0 30 Dec 2021
Stein Variational Probabilistic Roadmaps Alexander Lambert Brian Hou Rosario Scalise S. Srinivasa Byron Boots 22 8 0 04 Nov 2021
Trajectory Splitting: A Distributed Formulation for Collision Avoiding Trajectory Optimization Changhao Wang Jeffrey Bingham Masayoshi Tomizuka 17 14 0 02 Nov 2021
ShapeMap 3-D: Efficient shape mapping through dense touch and vision Sudharshan Suresh Zilin Si Joshua G. Mangelson Wenzhen Yuan Michael Kaess 82 58 0 20 Sep 2021
Entropy Regularized Motion Planning via Stein Variational Inference Alexander Lambert Byron Boots 43 12 0 11 Jul 2021
Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning A. Orthey Florian T. Pokorny Marc Toussaint 20 2 0 06 Jul 2021
A visual introduction to Gaussian Belief Propagation Joseph Ortiz Talfan Evans Andrew J. Davison 15 32 0 05 Jul 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning Julen Urain Anqi Li Puze Liu Carlo DÉramo Jan Peters 33 25 0 11 May 2021
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi 35 3 0 16 Nov 2020
Stein Variational Model Predictive Control Alexander Lambert Adam Fishman Dieter Fox Byron Boots F. Ramos 14 57 0 15 Nov 2020
Joint Sampling and Trajectory Optimization over Graphs for Online Motion Planning Kalyan Vasudev Alwala Mustafa Mukadam 16 14 0 13 Nov 2020
A Factor-Graph Approach for Optimization Problems with Dynamics Constraints Mandy Xie Alejandro Escontrela F. Dellaert AI4CE 6 17 0 11 Nov 2020
Predicted Composite Signed-Distance Fields for Real-Time Motion Planning in Dynamic Environments M. N. Finean W. Merkt Ioannis Havoutis 6 12 0 03 Aug 2020
Batch and Incremental Kinodynamic Motion Planning using Dynamic Factor Graphs Mandy Xie F. Dellaert 11 6 0 26 May 2020
The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation S. Kasaei J. Melsen Floris van Beers Christiaan Steenkist K. Vončina 24 12 0 18 Mar 2020
Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model Sen Wang Jiaqi Chen Xuanliang Deng S. Hutchinson F. Dellaert 8 24 0 02 Mar 2020
Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection Lirui Wang Yu Xiang Dieter Fox 8 38 0 22 Nov 2019
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation T. Barfoot James Richard Forbes David J. Yoon 15 39 0 09 Nov 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 34 54 0 27 Sep 2019
Fast Manipulability Maximization Using Continuous-Time Trajectory Optimization Filip Marić Oliver Limoyo Luka V. Petrović Trevor Ablett Ivan Petrović Jonathan Kelly 6 14 0 08 Aug 2019
Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes Luka V. Petrović Juraj Peršić Marija Seder Ivan Marković 14 10 0 17 Jul 2019
A White-Noise-On-Jerk Motion Prior for Continuous-Time Trajectory Estimation on SE(3) T. Y. Tang David J. Yoon T. Barfoot 11 37 0 18 Sep 2018
STEAP: simultaneous trajectory estimation and planning Mustafa Mukadam Jing Dong F. Dellaert Byron Boots 17 33 0 27 Jul 2018