Teaching robots new tasks very quickly
The post shares 'Steertuning', a method claiming to adapt robots to new tasks from five human demonstrations in under five minutes, with links to its website and GitHub repository. The content is attributed to another author (@irmakkguzey) and relays their announcement without independent verification of the claimed performance metrics.
Source: Chris Paxton — X Robotics · Read original article ↗
Article text · Original source · English
Teaching robots new tasks very quickly
What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
demonstrations
5
View original evidence
I’m very excited to share Steertuning, a novel approach that adapts robots to new tasks from 5 human demonstrations in under 5 minutes, from demonstration to deployment.
Open source S3minutes
5
View original evidence
I’m very excited to share Steertuning, a novel approach that adapts robots to new tasks from 5 human demonstrations in under 5 minutes, from demonstration to deployment.
Open source S3
- paper: not_reported
- code: Available Artifact link Open source S5
- weights: not_reported
- dataset: not_reported
- code: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
I’m very excited to share Steertuning, a novel approach that adapts robots to new tasks from 5 human demonstrations in under 5 minutes, from demonstration to deployment.
Open source S3
Code: https://github.com/billy-yibo-yan/steertuning_release
Open source S5
As we get closer to a world where we live among robots, it’s becoming more and more valuable for robots to learn quickly with and from people. I’m very excited to share Steertuning, a novel approach that adapts robots to new tasks from 5 human demonstrations in under 5 minutes, from demonstration to deployment. Website: https://steertuning.github.io/ Code: https://github.com/billy-yibo-yan/steertuning_releaseView the quoted post on X
Source:Chris Paxton · x.com