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Robot Motion Planning in Learned Latent Spaces

26 July 2018

Papers citing "Robot Motion Planning in Learned Latent Spaces"

44 / 94 papers shown

Title
Planning from Pixels in Environments with Combinatorially Hard Search SpacesNeural Information Processing Systems (NeurIPS), 2021 Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 233 9 0 12 Oct 2021
Guaranteed Rejection-free Sampling Method Using Past Behaviours for Motion Planning of Autonomous Systems T. Enevoldsen R. Galeazzi 271 0 0 29 Sep 2021
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning Constantinos Chamzas M. Lippi Michael C. Welle Anastasia Varava Lydia E. Kavraki Danica Kragic SSL DRL OffRL 178 5 0 14 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architecturesJournal of Systems Engineering and Electronics (JSEE), 2021 Changyin Sun Zicheng He Chunwei Song Changyin Sun 425 85 0 31 Aug 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative TasksConference on Robot Learning (CoRL), 2021 Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 212 13 0 10 Jul 2021
Custom Distribution for Sampling-Based Motion PlanningJournal of the Brazilian Society of Mechanical Sciences and Engineering (JBSMSE), 2021 Gabriel O. Flores-Aquino J. I. Vasquez-Gomez Octavio Gutiérrez-Frías OOD 80 5 0 21 Apr 2021
Learning of Causal Observable Functions for Koopman-DFL Lifting Linearization of Nonlinear Controlled Systems and Its Application to Excavation AutomationIEEE Robotics and Automation Letters (RA-L), 2021 Nicholas Stearns S. M. I. H. Harry Asada 318 17 0 05 Apr 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RLIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Iretiayo Akinola Zizhao Wang Peter K. Allen 138 2 0 24 Mar 2021
Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign LanguageIEEE Robotics and Automation Letters (RA-L), 2021 Haodong Zhang Weijie Li Jiangpin Liu Zexi Chen Yuxiang Cui Yue Wang R. Xiong 247 29 0 16 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent Space RoadmapIEEE Transactions on robotics (TRO), 2021 M. Lippi Petra Poklukar Michael C. Welle Anastasia Varava Hang Yin Alessandro Marino Danica Kragic 237 17 0 03 Mar 2021
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic ConstraintsIEEE Robotics and Automation Letters (RA-L), 2021 Linjun Li Yinglong Miao A. H. Qureshi Michael C. Yip 314 57 0 17 Jan 2021
Sparse Multilevel Roadmaps for High-Dimensional Robot Motion PlanningIEEE International Conference on Robotics and Automation (ICRA), 2020 A. Orthey Marc Toussaint 255 13 0 02 Nov 2020
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz ConstantsIEEE Robotics and Automation Letters (RA-L), 2020 Craig Knuth Glen Chou N. Ozay Dmitry Berenson 221 39 0 18 Oct 2020
Constrained Motion Planning Networks XIEEE Transactions on robotics (IEEE Trans. Robot.), 2020 A. H. Qureshi Jiangeng Dong Asfiya Baig Michael C. Yip 3DPC 160 42 0 17 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 188 43 0 13 Oct 2020
Learning Equality Constraints for Motion Planning on ManifoldsConference on Robot Learning (CoRL), 2020 Giovanni Sutanto Isabel M. Rayas Fernández Péter Englert R. Ramachandran Gaurav Sukhatme 154 24 0 24 Sep 2020
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlConference on Robot Learning (CoRL), 2020 Boris Ivanovic Amine Elhafsi Guy Rosman Adrien Gaidon Marco Pavone 195 55 0 16 Sep 2020
Path Planning using Neural A* SearchInternational Conference on Machine Learning (ICML), 2020 Ryo Yonetani Tatsunori Taniai M. Barekatain Mai Nishimura Asako Kanezaki 3DPC 245 119 0 16 Sep 2020
Learning Obstacle Representations for Neural Motion PlanningConference on Robot Learning (CoRL), 2020 Robin Strudel Ricardo Garcia Pinel Justin Carpentier J. Laumond Ivan Laptev Cordelia Schmid SSL 268 38 0 25 Aug 2020
Neural Manipulation Planning on Constraint ManifoldsIEEE Robotics and Automation Letters (RA-L), 2020 A. H. Qureshi Jiangeng Dong Austin Choe Michael C. Yip 128 47 0 09 Aug 2020
Multilevel Motion Planning: A Fiber Bundle Formulation A. Orthey S. Akbar Marc Toussaint 210 24 0 18 Jul 2020
Goal-Aware Prediction: Learning to Model What MattersInternational Conference on Machine Learning (ICML), 2020 Suraj Nair Silvio Savarese Chelsea Finn 178 69 0 14 Jul 2020
Predicting Sample Collision with Neural Networks Tuan Tran Jory Denny Chinwe Ekenna 57 8 0 30 Jun 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical PredictorsNeural Information Processing Systems (NeurIPS), 2020 Karl Pertsch Oleh Rybkin F. Ebert Chelsea Finn Dinesh Jayaraman Sergey Levine 222 81 0 23 Jun 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image Danny Driess Jung-Su Ha Marc Toussaint LRM 165 112 0 09 Jun 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 156 29 0 07 May 2020
Plan-Space State Embeddings for Improved Reinforcement Learning Max Pflueger Gaurav Sukhatme 109 1 0 30 Apr 2020
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object ManipulationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 M. Lippi Petra Poklukar Michael C. Welle Anastasiia Varava Hang Yin Alessandro Marino Danica Kragic 173 59 0 19 Mar 2020
Probably Approximately Correct Vision-Based Planning using Motion PrimitivesConference on Robot Learning (CoRL), 2020 Sushant Veer Anirudha Majumdar 3DV 173 22 0 28 Feb 2020
Hallucinative Topological Memory for Zero-Shot Visual PlanningInternational Conference on Machine Learning (ICML), 2020 Kara Liu Thanard Kurutach Christine Tung Pieter Abbeel Aviv Tamar 152 49 0 27 Feb 2020
Learning When to Trust a Dynamics Model for Planning in Reduced State SpacesIEEE Robotics and Automation Letters (RA-L), 2020 D. Mcconachie Thomas Power Peter Mitrano Dmitry Berenson 115 37 0 29 Jan 2020
Learning Latent State Spaces for Planning through Reward Prediction Aaron J. Havens Ouyang Yi P. Nagarajan Yasuhiro Fujita 115 7 0 09 Dec 2019
Asymptotically Optimal Sampling-based Planners Kostas E. Bekris Rahul Shome OT 241 7 0 11 Nov 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step ManipulationConference on Robot Learning (CoRL), 2019 Kuan Fang Yuke Zhu Animesh Garg Silvio Savarese Li Fei-Fei DRL 177 49 0 29 Oct 2019
Neural Collision Clearance Estimator for Batched Motion Planning J. Kew Brian Ichter Maryam Bandari T. Lee Aleksandra Faust 3DV 121 11 0 14 Oct 2019
Learned Critical Probabilistic Roadmaps for Robotic Motion PlanningIEEE International Conference on Robotics and Automation (ICRA), 2019 Brian Ichter Edward Schmerling T. Lee Aleksandra Faust 138 76 0 08 Oct 2019
The Differentiable Cross-Entropy MethodInternational Conference on Machine Learning (ICML), 2019 Brandon Amos Denis Yarats 336 58 0 27 Sep 2019
Sample Complexity of Probabilistic Roadmaps via $ε$ -netsIEEE International Conference on Robotics and Automation (ICRA), 2019 Matthew W. Tsao Kiril Solovey Marco Pavone 157 18 0 13 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal GenerationInternational Conference on Learning Representations (ICLR), 2019 Suraj Nair Chelsea Finn VGen 167 143 0 12 Sep 2019
Mapping State Space using Landmarks for Universal Goal ReachingNeural Information Processing Systems (NeurIPS), 2019 Zhiao Huang Fangchen Liu Hao Su 176 76 0 15 Aug 2019
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based PlanningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019 Rahul Kumar Aditya Mandalika Sanjiban Choudhury S. Srinivasa 185 66 0 22 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion PlannersIEEE Transactions on robotics (TRO), 2019 A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 419 270 0 13 Jul 2019
Harnessing Reinforcement Learning for Neural Motion Planning Tom Jurgenson Aviv Tamar OOD 241 67 0 01 Jun 2019
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning Holger Banzhaf Paul Sanzenbacher Ulrich Baumann Johann Marius Zöllner 174 22 0 03 Dec 2018