[BLOG]-CNCF(LFX) Industrial EAI-benchmarking with KubeEdge-Ianvs added

[RONAK-AI647]

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• Tests for the changes have been added (for bug fixes / features)
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• What kind of change does this PR introduce? (Bug fix, feature, docs update, ...)

Blog Post
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Embodied Intelligence meets KubeEdge-Ianvs: Industrial Assembly Benchmarking

This blog introduces how to enable comprehensive embodied intelligence benchmarking for industrial manufacturing using the KubeEdge-Ianvs framework.

[kubeedge-bot]

Welcome @RONAK-AI647! It looks like this is your first PR to kubeedge/website 🎉

[gemini-code-assist]

Summary of Changes

Hello @RONAK-AI647, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a significant new blog post that outlines a pioneering benchmark for embodied intelligence in industrial manufacturing. The post details how the KubeEdge-Ianvs framework can be utilized to evaluate robotic assembly of deformable electronic components, addressing critical gaps in existing research. It highlights the creation of a unique multimodal dataset and a comprehensive end-to-end evaluation infrastructure designed to accelerate the development and deployment of reliable autonomous assembly systems in real-world industrial settings.

Highlights

• New Blog Post: A new blog post titled "Embodied Intelligence meets KubeEdge-Ianvs: Industrial Assembly Benchmarking" has been added, detailing a novel approach to industrial AI.
• Novel Benchmark Introduction: The blog post introduces the first comprehensive benchmark specifically designed for robotic assembly of deformable electronic components in industrial manufacturing settings.
• Multimodal Dataset: Details are provided on a new publicly available multimodal dataset for industrial assembly, which includes RGB-D images, force/torque sensor data, and robot trajectories.
• End-to-End Evaluation: The PR outlines an end-to-end evaluation infrastructure within the KubeEdge-Ianvs framework for assessing complete multi-stage assembly workflows, bridging the gap between academic research and industrial application.
• Ianvs Integration Guide: The blog post includes a step-by-step guide on how to set up and run this new benchmark using the KubeEdge-Ianvs framework, covering installation, dataset setup, configuration, and result analysis.

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[gemini-code-assist]

Code Review

This pull request introduces a new blog post on EAI-benchmarking with KubeEdge-Ianvs and adds the author's details. The blog post is well-structured and informative. However, I've identified several issues that need attention before merging. There's a YAML formatting error in authors.yml that could break parsing. The blog post itself contains broken links for images and a placeholder for a video URL. Additionally, the tutorial commands use absolute paths in the root directory, which is not a recommended practice and could cause issues for users. I've provided specific comments and suggestions to address these points.

[RONAK-AI647]

/hold

[RONAK-AI647]

@kevin-wangzefeng @Shelley-BaoYue its ready to review , please take a look !!!

[RONAK-AI647]

/unhold

[fujitatomoya]

i usually see this — from generative AI description, maybe we do not need that in here and else where?

Suggested change

	This work represents the **first comprehensive benchmark** for robotic assembly of deformable electronic components—a scenario ubiquitous in modern electronics manufacturing yet completely absent from existing research infrastructure. Our contributions are unprecedented in scope:
	This work represents the **first comprehensive benchmark** for robotic assembly of deformable electronic components, a scenario ubiquitous in modern electronics manufacturing yet completely absent from existing research infrastructure. Our contributions are unprecedented in scope:

[RONAK-AI647]

Yes , I have re-polished all the points using generative AI . I will remove those dashes -if annoying

[fujitatomoya]

if that is not supported on windows, why do we put that required platform more specifically (e.g Ubuntu Noble) for user documentation? so that we can avoid complication and problems in the 1st place.

[RONAK-AI647]

https://github.com/kubeedge/ianvs/blob/main/docs/guides/quick-start.md#:~:text=In%20this%20example%2C%20we%20are%20using%20the%20Linux%20platform%20with%20Python%203.8.%20If%20you%20are%20using%20Windows%2C%20most%20steps%20should%20still%20apply%20but%20a%20few%20commands%20and%20package%20requirements%20might%20be%20different.

I included the Windows note because users often try to run benchmarks on Windows, and it works. Specifying "Ubuntu Noble" is too restrictive—the benchmark works on Ubuntu 18.04+, Debian, and other Linux distros, if you say I will strict the sentence for the same.

[RONAK-AI647]

Any other comments sir @fujitatomoya

[Shelley-BaoYue]

/approve
cc @MooreZheng

[kubeedge-bot]

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: Shelley-BaoYue

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[MooreZheng]

cc @hsj576