A LLM as co-pilot for robotic components
In this episode, Robert Weber spoke with Patrick Heimburger and
Ismail Shoukry from robotics builder Fruitcore Robotics about LLMs,
the robotics co-ciplot and the simplified handling of components
such as cameras.
33 Minuten
Podcast
Podcaster
Beschreibung
vor 2 Jahren
The LLM Copilot is part of the OS horst. The idea is to speed up
the configuration of the robot and the components. The User asks
the LLM, if the installation is quite ready or gets support with
the installation of components. The system runs on ChatGPT but for
Ismail it is also conceivable to run the application with LLaMA.
Thanks for listening. We welcome suggestions for topics, criticism
and a few stars on Apple, Spotify and Co. We thank our partner
[Siemens
](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html)
More about Fruitcore Robotics
https://www.fruitcore-robotics.com/en/horstos-ai-copilot Thanks to
Women in AI and Robotics
([more](https://www.womeninairobotics.de/)) PLEASE fill out the
survey from Gabriel Krummenacher and the ETH Zurich
[https://www.zuehlke.com/en/machine-learning](https://www.zuehlke.com/en/machine-learning)
We thank our team: Barbara, Anne and Simon!
the configuration of the robot and the components. The User asks
the LLM, if the installation is quite ready or gets support with
the installation of components. The system runs on ChatGPT but for
Ismail it is also conceivable to run the application with LLaMA.
Thanks for listening. We welcome suggestions for topics, criticism
and a few stars on Apple, Spotify and Co. We thank our partner
[Siemens
](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html)
More about Fruitcore Robotics
https://www.fruitcore-robotics.com/en/horstos-ai-copilot Thanks to
Women in AI and Robotics
([more](https://www.womeninairobotics.de/)) PLEASE fill out the
survey from Gabriel Krummenacher and the ETH Zurich
[https://www.zuehlke.com/en/machine-learning](https://www.zuehlke.com/en/machine-learning)
We thank our team: Barbara, Anne and Simon!
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