Few-shot model-based adaptation in noisy conditions

Few-shot model-based adaptation in noisy conditions

IEEE Robotics and Automation Letters (RA-L), 2020

16 October 2020

Ali Ghadirzadeh

Ville Kyrki

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Papers citing "Few-shot model-based adaptation in noisy conditions"

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Title
Focused Adaptation of Dynamics Models for Deformable Object ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2022 Peter Mitrano A. LaGrassa Oliver Kroemer Dmitry Berenson AI4CE 173 19 0 28 Sep 2022
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in SimulationIEEE Robotics and Automation Letters (RA-L), 2022 Rituraj Kaushik Karol Arndt Ville Kyrki 180 11 0 27 Jan 2022
DROPO: Sim-to-Real Transfer with Offline Domain Randomization Gabriele Tiboni Karol Arndt Ville Kyrki 139 35 0 20 Jan 2022
A Survey of Robot Manipulation in Contact Markku Suomalainen Y. Karayiannidis Ville Kyrki 309 140 0 03 Dec 2021
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain AdaptationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Karol Arndt Oliver Struckmeier Ville Kyrki 97 1 0 12 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic PlatformsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 217 45 0 05 Mar 2021