Learning Obstacle Representations for Neural Motion Planning

25 August 2020

Papers citing "Learning Obstacle Representations for Neural Motion Planning"

24 / 24 papers shown

Title
SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning Xuzhe Dang Stefan Edelkamp 73 0 0 26 Nov 2024
XMoP: Whole-Body Control Policy for Zero-shot Cross-Embodiment Neural Motion Planning Prabin Kumar Rath Nakul Gopalan 32 0 0 23 Sep 2024
Group-Control Motion Planning Framework for Microrobot Swarms in a Global Field S. Li Afagh Mehri Shervedani Milos Zefran Igor Paprotny 23 0 0 19 Jun 2024
RoboArm-NMP: a Learning Environment for Neural Motion Planning Tom Jurgenson Matan Sudry Gal Avineri Aviv Tamar 32 0 0 25 May 2024
Neural Randomized Planning for Whole Body Robot Motion Yunfan Lu Yuchen Ma David Hsu Caicai Pan 37 0 0 18 May 2024
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller Mingxin Yu Chenning Yu M.-Mahdi Naddaf-Sh Devesh Upadhyay Sicun Gao Chuchu Fan 47 4 0 01 Apr 2024
Speeding Up Optimization-based Motion Planning through Deep Learning Johannes Tenhumberg Darius Burschka Berthold Bäuml 18 8 0 14 Nov 2023
Motion Memory: Leveraging Past Experiences to Accelerate Future Motion Planning Dibyendu Das Yuanjie Lu Erion Plaku Xuesu Xiao 37 9 0 09 Oct 2023
Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics Aravind Sivaramakrishnan Sumanth Tangirala Edgar Granados Noah R. Carver Kostas E. Bekris 31 3 0 05 Oct 2023
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation Shizhe Chen Ricardo Garcia Pinel Cordelia Schmid Ivan Laptev LM&Ro 3DPC 43 34 0 27 Sep 2023
Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints Zhe Huang Hongyu Chen John Pohovey Katherine Driggs-Campbell 29 9 0 26 Sep 2023
An Integrated FPGA Accelerator for Deep Learning-based 2D/3D Path Planning Keisuke Sugiura Hiroki Matsutani 3DPC 23 3 0 30 Jun 2023
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction Yujun Jiao Mingze Miao Zhishuai Yin Chunyuan Lei Xu Zhu Linzhen Nie Bo Tao 32 5 0 22 Mar 2023
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space Jun Yamada Chia-Man Hung J. Collins Ioannis Havoutis Ingmar Posner 26 8 0 06 Mar 2023
Predicting Motion Plans for Articulating Everyday Objects Arjun Gupta Max E. Shepherd Saurabh Gupta 35 8 0 02 Mar 2023
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning T. McMahon Aravind Sivaramakrishnan Edgar Granados Kostas E. Bekris 19 14 0 15 Nov 2022
Motion Policy Networks Adam Fishman Adithya Murali Clemens Eppner Bryan N. Peele Byron Boots Dieter Fox 48 56 0 21 Oct 2022
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks Chen-Ping Yu Sicun Gao 39 47 0 17 Oct 2022
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding Ruipeng Zhang Chenning Yu Jingkai Chen Chuchu Fan Sicun Gao AI4CE 43 15 0 16 Oct 2022
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation Hugues Thomas Jian Zhang Timothy D. Barfoot 3DPC 31 4 0 26 Aug 2022
Learning-Based Motion Planning with Mixture Density Networks Yinghan Wang Xiaoming Duan Jianping He 3DPC 17 0 0 07 Jun 2022
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation Isabella Liu Shagun Uppal Gaurav Sukhatme Joseph J. Lim Péter Englert Youngwoon Lee 30 12 0 11 Nov 2021
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes Hugues Thomas Matthieu Gallet de Saint Aurin Jian Zhang T. Barfoot 21 12 0 24 Aug 2021
Learning Robot Exploration Strategy with 4D Point-Clouds-like Information as Observations Zhaoting Li Tingguang Li Jiankun Wang Max Meng 3DPC 21 2 0 17 Jun 2021