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Kernelized Movement Primitives

29 August 2017

João Silvério

Papers citing "Kernelized Movement Primitives"

50 / 69 papers shown

Title
Orientation Learning and Adaptation towards Simultaneous Incorporation of Multiple Local Constraints Gaofeng Li Peisen Xu Ruize Wang Qi Ye Jiming Chen Dezhen Song Yanlong Huang 80 0 0 09 Oct 2025
Learning a Shape-adaptive Assist-as-needed Rehabilitation Policy from Therapist-informed Input Zhimin Hou Jiacheng Hou Xiao Chen Hamid Sadeghian Tianyu Ren Sami Haddadin 56 0 0 06 Oct 2025
OVITA: Open-Vocabulary Interpretable Trajectory AdaptationsIEEE Robotics and Automation Letters (IEEE RA-L), 2025 Anurag Maurya Tashmoy Ghosh Anh Nguyen Ravi Prakash 92 0 0 24 Aug 2025
The Developments and Challenges towards Dexterous and Embodied Robotic Manipulation: A Survey Gaofeng Li Ruize Wang Peisen Xu Qi Ye Jiming Chen 96 5 0 16 Jul 2025
A Survey on Imitation Learning for Contact-Rich Tasks in Robotics T. Tsuji Y. Kato Gokhan Solak Heng Zhang Tadej Petrič Francesco Nori Arash Ajoudani 208 8 0 16 Jun 2025
Robot Learning Using Multi-Coordinate Elastic Maps Brendan Hertel Reza Azadeh SSL 144 0 0 09 May 2025
Hierarchical Task Decomposition for Execution Monitoring and Error Recovery: Understanding the Rationale Behind Task Demonstrations Christoph Willibald Dongheui Lee 204 2 0 07 May 2025
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning Jan Ole von Hartz Adrian Rofer Joschka Boedecker Abhinav Valada 275 1 0 06 May 2025
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations Ken-Joel Simmoteit Philipp Schillinger Leonel Rozo 195 1 0 26 Apr 2025
Robotic Grinding Skills Learning Based on Geodesic Length Dynamic Motion PrimitivesIEEE/ASME transactions on mechatronics (TAM), 2025 Shuai Ke Huan Zhao Xiangfei Li Zhiao Wei Yecan Yin Han Ding 122 1 0 24 Apr 2025
From Movement Primitives to Distance Fields to Dynamical SystemsIEEE Robotics and Automation Letters (IEEE RA-L), 2025 Yiming Li Sylvain Calinon 149 2 0 13 Apr 2025
State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning Tim R. Winter Ashok M. Sundaram W. Friedl Máximo A. Roa F. Stulp João Silvério 185 1 0 31 Oct 2024
MeshDMP: Motion Planning on Discrete Manifolds using Dynamic Movement PrimitivesIEEE International Conference on Robotics and Automation (ICRA), 2024 Matteo Dalle Vedove Fares J. Abu-Dakka Luigi Palopoli Daniele Fontanelli Matteo Saveriano 183 3 0 19 Oct 2024
One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations Shaokang Wu Yijin Wang Yanlong Huang VLM 129 0 0 02 Oct 2024
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations Jan Ole von Hartz Tim Welschehold Abhinav Valada Joschka Boedecker 203 10 0 18 Jul 2024
Imitation Learning for Robotic Assisted Ultrasound Examination of Deep Venous Thrombosis using Kernelized Movement Primitives Diego DallÁlba Lorenzo Busellato Thiusius Rajeeth Savarimuthu Zhuoqi Cheng Iñigo Iturrate 152 0 0 11 Jul 2024
Generative Planning with Fast Collision Checks for High Speed Navigation Craig Knuth Cora Dimmig Brian A. Bittner 244 1 0 07 May 2024
Generalizable Motion Policies through Keypoint Parameterization and Transportation Maps Giovanni Franzese Ravi Prakash Cosimo Della Santina Jens Kober OOD 150 2 0 20 Apr 2024
A Combined Learning and Optimization Framework to Transfer Human Whole-body Loco-manipulation Skills to Mobile Manipulators Jianzhuang Zhao Francesco Tassi Yanlong Huang Elena De Momi Arash Ajoudani 106 1 0 21 Feb 2024
Task-Parameterized Imitation Learning with Time-Sensitive Constraints Julian Richter Joao Oliveira Christian Scheurer Jochen Steil Niels Dehio 185 1 0 06 Dec 2023
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills Hector M. Perez-Villeda J. Piater Matteo Saveriano 119 0 0 04 Nov 2023
Non-parametric regression for robot learning on manifolds P. C. López-Custodio K. Bharath A. Kucukyilmaz S. P. Preston 293 2 0 30 Oct 2023
MMP++: Motion Manifold Primitives with Parametric Curve ModelsIEEE Transactions on robotics (TRO), 2023 Yonghyeon Lee 253 6 0 26 Oct 2023
Auto-LfD: Towards Closing the Loop for Learning from Demonstrations Shaokang Wu Yijin Wang Yanlong Huang 132 0 0 15 Oct 2023
A Structured Prediction Approach for Robot Imitation Learning Anqing Duan Iason Batzianoulis Raffaello Camoriano Lorenzo Rosasco Daniele Pucci A. Billard 143 8 0 26 Sep 2023
TeachingBot: Robot Teacher for Human Handwriting Zhimin Hou Cunjun Yu David Hsu Haoyong Yu 202 2 0 21 Sep 2023
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from DemonstrationIEEE Transactions on robotics (TRO), 2023 Sipu Ruan Weixiao Liu Xiaoli Wang Xin Meng Gregory Chirikjian 193 7 0 25 May 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture PoliciesNeural Information Processing Systems (NeurIPS), 2023 Hanna Ziesche Leonel Rozo 188 9 0 17 May 2023
Dynamic via-points and improved spatial generalization for online trajectory planning with Dynamic Movement Primitives Antonis Sidiropoulos Z. Doulgeri 106 1 0 27 Dec 2022
Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks Hector M. Perez-Villeda J. Piater Matteo Saveriano 114 10 0 16 Dec 2022
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot ManipulationNeural Networks (NN), 2022 Hanbit Oh Hikaru Sasaki B. Michael Takamitsu Matsubara 160 13 0 07 Nov 2022
Interactive Imitation Learning of Bimanual Movement PrimitivesIEEE/ASME transactions on mechatronics (TAM), 2022 Giovanni Franzese L. Rosa Tim Verburg L. Peternel Jens Kober 262 37 0 28 Oct 2022
Learning Deep Robotic Skills on Riemannian manifoldsIEEE Access (IEEE Access), 2022 Weitao Wang Matteo Saveriano Fares J. Abu-Dakka 108 12 0 27 Oct 2022
Learning Skills from Demonstrations: A Trend from Motion Primitives to Experience AbstractionIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022 Mehrdad Tavassoli S. Katyara Maria Pozzi Nikhil Deshpande D. Caldwell D. Prattichizzo 270 18 0 14 Oct 2022
Impact-Friendly Object Catching at Non-Zero Velocity Based on Combined Optimization and LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Jianzhu Zhao G. J. G. Lahr Francesco Tassi A. Santopaolo Elena De Momi Arash Ajoudani 174 7 0 26 Sep 2022
Solving Robot Assembly Tasks by Combining Interactive Teaching and Self-Exploration Mariano Ramírez Montero Giovanni Franzese Jeroen Zwanepol Jens Kober 152 2 0 23 Sep 2022
A Non-parametric Skill Representation with Soft Null Space Projectors for Fast GeneralizationIEEE International Conference on Robotics and Automation (ICRA), 2022 João Silvério Yanlong Huang 95 7 0 18 Sep 2022
Reactive Motion Generation on Learned Riemannian Manifolds Hadi Beik-Mohammadi Søren Hauberg Georgios Arvanitidis Gerhard Neumann Leonel Rozo 214 17 0 15 Mar 2022
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives João Carvalho Dorothea Koert Marek Daniv Jan Peters 206 9 0 08 Mar 2022
A Unified Formulation of Geometry-aware Dynamic Movement PrimitivesNeurocomputing (Neurocomputing), 2022 Fares J. Abu-Dakka Matteo Saveriano Ville Kyrki 65 1 0 07 Mar 2022
A Survey of Robot Manipulation in Contact Markku Suomalainen Y. Karayiannidis Ville Kyrki 309 140 0 03 Dec 2021
Orientation Probabilistic Movement Primitives on Riemannian ManifoldsConference on Robot Learning (CoRL), 2021 Leonel Rozo Vedant Dave 184 37 0 28 Oct 2021
Similarity-Aware Skill Reproduction based on Multi-Representational Learning from DemonstrationInternational Conference on Advanced Robotics (ICAR), 2021 Brendan Hertel S. Ahmadzadeh 104 8 0 28 Oct 2021
Learning Stable Vector Fields on Lie GroupsIEEE Robotics and Automation Letters (RA-L), 2021 Julen Urain Davide Tateo Jan Peters 249 24 0 22 Oct 2021
Fusing Visuo-Tactile Perception into Kernelized Synergies for Robust Grasping and Fine Manipulation of Non-rigid Objects S. Katyara Nikhil Deshpande F. Ficuciello Fei Chen B. Siciliano D. Caldwell 79 2 0 15 Sep 2021
Hierarchical Neural Dynamic Policies Shikhar Bahl Abhinav Gupta Deepak Pathak BDL 180 30 0 12 Jul 2021
Imitation and Mirror Systems in Robots through Deep Modality Blending Networks M. Yunus Seker Alper Ahmetoglu Y. Nagai Minoru Asada Erhan Öztop E. Ugur 113 26 0 15 Jun 2021
Learning Riemannian Manifolds for Geodesic Motion Skills Hadi Beik-Mohammadi Søren Hauberg Georgios Arvanitidis Gerhard Neumann Leonel Rozo 190 36 0 08 Jun 2021
Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series Sylvain Calinon 112 34 0 21 Apr 2021
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible PoliciesIEEE International Conference on Robotics and Automation (ICRA), 2021 Hanbit Oh Hikaru Sasaki B. Michael Takamitsu Matsubara 99 8 0 25 Mar 2021