English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Learning Fast and Precise Pixel-to-Torque Control: A Platform for Reproducible Research of Learning on Hardware

MPS-Authors
/persons/resource/persons274924

Bleher,  Steffen
Max Planck Research Group Intelligent Control Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons232746

Heim,  Steve
Max Planck Research Group Intelligent Control Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons118771

Trimpe,  Sebastian
Max Planck Research Group Intelligent Control Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Bleher, S., Heim, S., & Trimpe, S. (2022). Learning Fast and Precise Pixel-to-Torque Control: A Platform for Reproducible Research of Learning on Hardware. IEEE Robotics & Automation Magazine, 29(2), 75-84. doi:10.1109/MRA.2021.3129448.


Cite as: https://hdl.handle.net/21.11116/0000-000A-9E05-F
Abstract
There is no abstract available