diff --git a/src/pages/meetings/index.md b/src/pages/meetings/index.md index 71d379a..35333c8 100644 --- a/src/pages/meetings/index.md +++ b/src/pages/meetings/index.md @@ -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: + + + ## 2025-09-08: Summer Holiday The group will not meet on this date, due to the number of members unable to