Benchmarking Hand and Grasp Resilience to Dynamic Loads-Reference-Cited by-同舟云学术

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Benchmarking Hand and Grasp Resilience to Dynamic Loads

Published:2020-04 Issue:2 Volume:5 Page:1780-1787
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Negrello Francesca^ORCID,Friedl Werner^ORCID,Grioli Giorgio^ORCID,Garabini Manolo^ORCID,Brock Oliver^ORCID,Bicchi Antonio^ORCID,Roa Maximo A.^ORCID,Catalano Manuel G.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/8932682/08968416.pdf?arnumber=8968416

Cited by 11 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. A method to benchmark the balance resilience of robots;Frontiers in Robotics and AI;2023-01-20

2. Roman: Making Everyday Objects Robotically Manipulable with 3D-Printable Add-on Mechanisms;CHI Conference on Human Factors in Computing Systems;2022-04-29

3. Research Challenges and Progress in Robotic Grasping and Manipulation Competitions;IEEE Robotics and Automation Letters;2022-04

4. A Bin-Picking Benchmark for Systematic Evaluation of Robotic-Assisted Food Handling for Line Production;IEEE/ASME Transactions on Mechatronics;2022

5. Object Handovers: A Review for Robotics;IEEE Transactions on Robotics;2021-12

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