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41 changes: 33 additions & 8 deletions src/pages/meetings/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -17,19 +17,44 @@ If you have an interesting topic of discussion for the group, please propose
that topic using the [Github
Issue](https://github.com/cloudroboticshub/cloudroboticshub.github.io/issues/33).

## 2025-09-24: ROSBag MCP Server Research Presentation
## 2025-10-08: AMP with Carter Schultz (Upcoming)

In this meeting, the group plans to host a presentation on ROSBag MCP Servers
from [Lei Fu](https:www.linkedin.com/in/leifu6968) and [Sahar
Slimpour](https:www.linkedin.com/in/saharsalimpour), from the Zurich University
of Applied Sciences and University of Turku respectively. This research has been
shared in a [ROS Discourse
post](https://discourse.openrobotics.org/t/another-mcp-server-to-analyze-your-rosbags-with-llms-a-ui-to-benchmark-it-against-different-llm-providers/49897),
and the authors have agreed to come and tell us more about it.
The CRWG is pleased to welcome [Carter
Schultz](https://www.linkedin.com/in/carter-builds-robots/) of
[AMP](https://ampsortation.com/) to our next meeting. AMP
is working to modernise global recycling infrastructure with AI‑driven
robotics. Carter will share the company’s vision and, in particular, the key
challenges it faces when operating a large fleet of autonomous robots.

**Please note that the meeting day has changed for the CRWG. Previous meetings
were on Monday; they are now on Wednesday at the same time.**

## 2025-09-24: ROSBag MCP Server Research Presentation

In this meeting, guest speakers [Lei Fu](https:www.linkedin.com/in/leifu6968) and [Sahar
Slimpour](https:www.linkedin.com/in/saharsalimpour), from the Zurich University
of Applied Sciences and University of Turku respectively, joined the CRWG to
talk about their ROSBag MCP Server research (also shared in [ROS
Discourse](https://discourse.openrobotics.org/t/another-mcp-server-to-analyze-your-rosbags-with-llms-a-ui-to-benchmark-it-against-different-llm-providers/49897)).

The speakers discussed comparing different LLM models for analysing and
reporting on recorded robot data. Due to how large robot datasets are, they
often exceed LLM context limits, which makes the work challenging. To help, the
speakers built a tool called MCP Lab which helped show different stats about LLM
responses, such as time taken, tokens used, and so on.

The speakers also showed a live demo, where different LLM models could be
selected to summarise robot performance or perform more complex tasks, like
identifying if any objects came closer than a fixed distance over the dataset.

Finally, the CRWG asked questions about the research, such as how to trust
answers from the LLM when it was occasionally wrong, and possible future
features for the MCP Lab.

If you'd like to see the meeting, it is available on YouTube:

<iframe width="560" height="315" src="https://www.youtube.com/embed/29xw0kuselc?si=a7EnwQLwRtnvoT6H" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

## 2025-09-08: Summer Holiday

The group will not meet on this date, due to the number of members unable to
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