> For the complete documentation index, see [llms.txt](https://berkeley-humanoid-lite.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://berkeley-humanoid-lite.gitbook.io/docs/in-depth-contents.md). # In-depth Contents During our four-year journey of building the Berkeley Humanoid Robot, we’ve encountered countless challenges—frustrating bugs, unexpected setbacks, and moments of doubt. While many great resources already exist, we felt compelled to document our learnings and discoveries here, hoping they might serve as a meaningful contribution to the robot DIY community. We sincerely wish you never have to battle the same stubborn issues we faced, while working on Berkeley Humanoid Lite and other projects. But if you do, may this guide save you time, ease your frustrations, and remind you that every challenge conquered brings you one step closer to creating something extraordinary. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://berkeley-humanoid-lite.gitbook.io/docs/in-depth-contents.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.