QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation
Author:
Affiliation:
1. School of Electrical Engineering, Aalto University,Finland
2. Munich Institute of Robotics and Machine Intelligence, Technische Universität München,München,Germany,80992
Funder
Academy of Finland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342002.pdf?arnumber=10342002
Reference27 articles.
1. Household Cloth Object Set: Fostering Benchmarking in Deformable Object Manipulation
2. Robotic cloth manipulation for clothing assistance task using Dynamic Movement Primitives
3. Cloth Manipulation Using Random-Forest-Based Imitation Learning
4. Flingbot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding;Ha
5. SpeedFolding: Learning Efficient Bimanual Folding of Garments
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1. Benchmarking the Sim-to-Real Gap in Cloth Manipulation;IEEE Robotics and Automation Letters;2024-03
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