Orientation Probabilistic Movement Primitives on Riemannian Manifolds

28 October 2021

Papers citing "Orientation Probabilistic Movement Primitives on Riemannian Manifolds"

19 / 19 papers shown

Title
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning Jan Ole von Hartz Adrian Rofer Joschka Boedecker Abhinav Valada 48 0 0 06 May 2025
Riemann $^2$ : Learning Riemannian Submanifolds from Riemannian Data Leonel Rozo Miguel González-Duque Noémie Jaquier Søren Hauberg 65 1 0 07 Mar 2025
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 291 3 0 12 Oct 2024
Enhancing Robotic Adaptability: Integrating Unsupervised Trajectory Segmentation and Conditional ProMPs for Dynamic Learning Environments Tianci Gao 28 0 0 30 Apr 2024
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning Ge Li Hongyi Zhou Dominik Roth Serge Thilges Fabian Otto Rudolf Lioutikov Gerhard Neumann OffRL 32 7 0 21 Jan 2024
Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures Anqing Duan Wanli Liuchen Jinsong Wu Raffaello Camoriano Lorenzo Rosasco D. Navarro-Alarcon 35 0 0 21 Dec 2023
Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds Tilman Daab Noémie Jaquier Christian R. G. Dreher Andre Meixner F. Krebs Tamim Asfour CLL 29 7 0 13 Dec 2023
Non-parametric regression for robot learning on manifolds P. C. López-Custodio K. Bharath A. Kucukyilmaz S. P. Preston 30 1 0 30 Oct 2023
Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning Noémie Jaquier Leonel Rozo Tamim Asfour 39 7 0 11 Oct 2023
MP3: Movement Primitive-Based (Re-)Planning Policy Fabian Otto Hongyi Zhou Onur Celik Ge Li Rudolf Lioutikov Gerhard Neumann 34 5 0 22 Jun 2023
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration Sipu Ruan Weixiao Liu Xiaoli Wang Xin Meng Gregory Chirikjian 31 7 0 25 May 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies Hanna Ziesche Leonel Rozo 31 5 0 17 May 2023
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds Daniel Seita Yufei Wang Sarthak J. Shetty Edward Li Zackory M. Erickson David Held 3DPC 35 49 0 16 Nov 2022
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms Jiechao Zhang Hadi Beik-Mohammadi Leonel Rozo 33 15 0 06 Nov 2022
Learning Deep Robotic Skills on Riemannian manifolds Weitao Wang Matteo Saveriano Fares J. Abu-Dakka 11 9 0 27 Oct 2022
Geometric Reinforcement Learning For Robotic Manipulation Naseem Alhousani Matteo Saveriano Ibrahim Sevinc Talha Abdulkuddus Hatice Kose Fares J. Abu-Dakka 46 6 0 14 Oct 2022
Reactive Motion Generation on Learned Riemannian Manifolds Hadi Beik-Mohammadi Søren Hauberg Georgios Arvanitidis Gerhard Neumann Leonel Rozo 35 11 0 15 Mar 2022
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives João Carvalho Dorothea Koert Marek Daniv Jan Peters 34 8 0 08 Mar 2022
Learning Stable Vector Fields on Lie Groups Julen Urain Davide Tateo Jan Peters 32 17 0 22 Oct 2021