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    <title>DEV Community: liesliy</title>
    <description>The latest articles on DEV Community by liesliy (@liesliy).</description>
    <link>https://dev.to/liesliy</link>
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      <title>DEV Community: liesliy</title>
      <link>https://dev.to/liesliy</link>
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      <title>Hello, Dev.to — I'm Building a Data Format Nobody Asked For (But Everyone Needs)</title>
      <dc:creator>liesliy</dc:creator>
      <pubDate>Sat, 01 Aug 2026 03:04:41 +0000</pubDate>
      <link>https://dev.to/liesliy/hello-devto-im-building-a-data-format-nobody-asked-for-but-everyone-needs-4a5i</link>
      <guid>https://dev.to/liesliy/hello-devto-im-building-a-data-format-nobody-asked-for-but-everyone-needs-4a5i</guid>
      <description>&lt;p&gt;Hey 👋 I'm Liesliy, a developer working on tactile data infrastructure for robots.&lt;br&gt;
&lt;strong&gt;The Problem That Brought Me Here&lt;/strong&gt;&lt;br&gt;
If you work in robotics, you've probably noticed something: nobody can agree on how to label tactile data.&lt;br&gt;
Every lab has its own format. Every dataset ships in a different schema. When you try to combine data from two sources, you spend more time writing converters than doing actual research.&lt;br&gt;
I've been there. So I built TLabel — an open-source unified format standard for tactile annotation data.&lt;/p&gt;

&lt;p&gt;Think of it like this:&lt;br&gt;
ROS standardized how robots communicate&lt;br&gt;
ROS Bag standardized how robots record&lt;br&gt;
Nobody has standardized how we label tactile data&lt;/p&gt;

&lt;p&gt;That's the gap TLabel tries to fill.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;What It Actually Does&lt;/strong&gt;&lt;br&gt;
Unified schema with 14 semantic dimensions and 4 compliance levels (L1–L4)&lt;br&gt;
Adapters to convert between formats (GelSight, BioTac, digit, TacTip, and more)&lt;br&gt;
PyPI-installable, plug into your existing pipeline&lt;br&gt;
It's early — v0.17 just shipped — but the architecture is solid and I'm actively looking for real-world feedback.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Why Dev.to&lt;/strong&gt;&lt;br&gt;
I've been reading Dev.to for a while. What I appreciate about this place:&lt;br&gt;
Engineers write for engineers — no fluff, no engagement farming&lt;br&gt;
"Hello World" culture actually works — people genuinely welcome newcomers&lt;br&gt;
The comment sections are better than most conferences&lt;br&gt;
I'm here to:&lt;br&gt;
Share what I learn building a data standard nobody asked for (yet)&lt;br&gt;
Meet people working on sensor data, robotics, and embodied AI&lt;br&gt;
Get honest feedback — the kind that hurts but makes the project better&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;What I'd Love to Hear From You&lt;/strong&gt;&lt;br&gt;
If you work with tactile sensing, robotics data pipelines, or open-source tooling — I want to talk.&lt;br&gt;
Especially curious:&lt;br&gt;
How do you handle format conversion in your current workflow?&lt;br&gt;
What's the most painful part of working with tactile datasets?&lt;/p&gt;

&lt;p&gt;Drop a comment or DM. I promise I'm more interested in listening than pitching. 🦞&lt;/p&gt;

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