Modeling, learning, perception, and control methods for deformable object manipulation-Reference-Cited by-同舟云学术

Modeling, learning, perception, and control methods for deformable object manipulation

Published:2021-05-12 Issue:54 Volume:6 Page:
ISSN:2470-9476
Container-title:Science Robotics
language:en
Short-container-title:Sci. Robot.

Author:

Yin Hang¹^ORCID,Varava Anastasia¹,Kragic Danica¹^ORCID

Affiliation:

1. Robotics, Perception, and Learning (RPL), School of Electrical Engineering and Computer Science, Royal Institute for Technology (KTH), Stockholm, Sweden.

Abstract

Enabling robots to handle deformable objects requires careful integration of data-driven and analytic approaches.

Funder

H2020 European Research Council

Swedish Foundation for Strategic Research

Knut och Alice Wallenbergs Stiftelse

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference132 articles.

1. Survey on model-based manipulation planning of deformable objects

2. Real-Time Visual Tracking of Deformable Objects in Robot-Assisted Surgery

3. Personalized collaborative plans for robot-assisted dressing via optimization and simulation

4. Learning to dress: Synthesizing human dressing motion via deep reinforcement learning;Clegg A.;ACM Trans. Graph.,2018

5. Y. Li J. Wu R. Tedrake J. B. Tenenbaum A. Torralba Learning particle dynamics for manipulating rigid bodies deformable objects and fluids in Proceedings of the International Conference on Learning Representations (ICLR) (ICLR 2019).

Cited by 131 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Embodied AI for dexterity-capable construction Robots: DEXBOT framework;Advanced Engineering Informatics;2024-10

2. Benchmarking and Simulating Bimanual Robot Shoe Lacing;IEEE Robotics and Automation Letters;2024-10

3. A systematic literature review of computer vision applications in robotized wire harness assembly;Advanced Engineering Informatics;2024-10

4. FlingFlow: LLM-Driven Dynamic Strategies for Efficient Cloth Flattening;IEEE Robotics and Automation Letters;2024-10

5. Interactive Perception for Deformable Object Manipulation;IEEE Robotics and Automation Letters;2024-09