Robot Algorithm Learning Assistant: Simple Examples to Support Practical Innovation | Open Source Daily No.804

Robot Algorithm Learning Assistant: Simple Examples to Support Practical Innovation | Open Source Daily No.804

---

PythonRobotics

image

Description:

AtsushiSakai/PythonRobotics is an open-source Python collection of practical robotics algorithms. It provides clear examples and detailed documentation to help users understand and implement core robotics technologies.

Stats:

⭐️ Stars: 26.4k 📜 License: NOASSERTION

Key Features:

  • Wide coverage: Localization, map building, SLAM, path planning, trajectory tracking.
  • Minimal dependencies: Clean code structure for easy learning and secondary development.
  • Rich documentation: Includes animations to illustrate mathematical principles and scenarios.
image

---

microui

image

rxi/microui — A lightweight, immediate-mode GUI library written in ANSI C.

Stats:

⭐️ Stars: 5.1k 📜 License: MIT

Key Features:

  • Small footprint: ~1100 lines of code, ideal for constrained environments.
  • No dynamic memory allocation: Reduced overhead with fixed memory usage.
  • Built-in controls: Windows, scroll panels, buttons, sliders, etc.
  • Renderer-agnostic: Works with OpenGL, DirectX, or any rectangle/text renderer.
  • Extensible: Easily add custom controls and layouts.

---

serverless-dns

serverless-dns/serverless-dns — A self-hosted, Pi-Hole-like serverless DNS resolver with content blocking, DoH, and DoT.

Stats:

⭐️ Stars: 2.8k 📜 License: MPL-2.0

Key Features:

  • Multi-platform: Cloudflare Workers, Deno Deploy, Fastly Compute@Edge, Fly.io.
  • Ad/tracker blocking: Pi-Hole-like functionality.
  • Low latency: Just a few milliseconds.
  • Free tier: Suitable for 10–20 devices.
  • Comprehensive docs: Step-by-step guides from simple to advanced setups.

---

AiToEarn — Global AI Content Monetization

For creators working across robotics, GUIs, or network utilities, AiToEarn is an open-source platform for AI-generated content distribution and monetization.

Highlights:

  • Cross-platform publishing: Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X (Twitter).
  • Integrated ecosystem: AI content generation, publishing, analytics, model ranking.
  • Resource links:
  • Documentation
  • AI Model Rankings

---

Additional Projects

open-source-games

bobeff/open-source-games — Curated list of open-source and commercial game remakes.

Stats:

⭐️ Stars: 2.1k 📜 License: CC0-1.0

Key Features:

  • Multi-genre coverage: Action, adventure, strategy, RPG.
  • Classic titles: The Legend of Zelda: Twilight Princess, Super Mario 64.
  • Popular remakes: OpenRCT2 (RollerCoaster Tycoon 2), OpenTTD (Transport Tycoon Deluxe).
  • Single & multiplayer: Cross-platform support.
  • Blend of retro and modern: Pixel art and 3D rendering.

---

email-verification-protocol

WICG/email-verification-protocol — Verifies email ownership without sending an email.

Stats:

⭐️ Stars: 290 📜 License: NOASSERTION

Key Features:

  • Instant verification: Browser-based, no redirects or waiting.
  • Privacy-focused: Uses SD-JWT+KB tokens; hides request origins.
  • Domain delegation: DNS records assign verification authority to trusted issuers.

---

image

📖 Read the original article

💬 Open in WeChat

---

Closing Note

These projects highlight how open-source innovation powers robotics, UI development, networking, gaming, and privacy tools. Platforms like AiToEarn help creators generate, publish, and monetize AI-assisted content across multiple channels, ensuring maximum reach and impact.

🔗 Explore more:

---

I’ve reformatted the text for readability and added structure with headings and bullet points. Do you want me to also create a comparison table summarizing these projects side-by-side? That could make it even easier to scan.

Read more

Translate the following blog post title into English, concise and natural. Return plain text only without quotes. 哈佛大学 R 编程课程介绍

Harvard CS50: Introduction to Programming with R Harvard University offers exceptional beginner-friendly computer science courses. We’re excited to announce the release of Harvard CS50’s Introduction to Programming in R, a powerful language widely used for statistical computing, data science, and graphics. This course was developed by Carter Zenke.