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Learning Deformable Object Manipulation from Expert Demonstrations - Gautam Salhotra
RMDO 2024: In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile ...
Tactile-Based Object Repositioning During In-Hand Manipulation
Learning thin deformable object manipulation with a multi-sensory integrated soft hand
CSL seminar: Shuran Song - The Effectiveness of Dynamic Manipulation for Deformable Objects
Learning Latent Graph Dynamics for Deformable Object Manipulation
Planning and control with unreliable dynamics for deformable object manipulation - Dmitry Berenson
Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Invited talk: Potentials And Pitfalls For Benchmarking Deformable Object Manipulation
Learning to Manipulate Deformable Objects without Demonstrations
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Last Updated: September 29, 2026
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Summary
Koichi Hirota, Yusuke Ujitoko, Kazuya Kiriyama, Kazuyoshi Tagawa. Presented at AsiaHaptics2014. This study investigated the ... Title: Presenting ReForm, a Robot Learning Sandbox for Gerardo describes his work on the CLoPeMa FP7 European project which aimed to advance start-of-the-art in autonomous ... Authors: Carolyn Matl and Ruzena Bajcsy. Paper link: arxiv.org/abs/2107.06924 Abstract: Spotlight talk at 4th Workshop on Representing and We present a novel solution that incorporates embodied multisensory integration to learn Talk title: The Reasonable Effectiveness of Dynamic Title: Learning Latent Graph Dynamics for A presentation by Prof. Dmitry Berenson from University of Michigan. Recorded for the Second Workshop on Robotic Learning Foresightful Dense Visual Affordance for Authors: Jan Matas, Stephen James and Andrew Davidson, Department of Computing, Imperial College London Contact: ... ICRA 2021 workshop on "Cloud-Based Competitions and Benchmarks for Robotic
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