Summary
Robot programming is still challenging — even for senior developers and kids! Why? Because it combines the physical world 🌍 with the software world 💻.
AI hasn’t conquered the physical world yet 🤖🌍 — sensors, motors, and real-world variables still surprise us every day! ⚙️🔋🛞
In the end, we must face the real-world chaos head-on, squash every bug 🐞, and win the game 🏆!
📖 Our Story
- ⏳ We started in October 2024 with zero experience and no equipments.
- 🎄 After the Christmas break, we bought the devices and map and gained a basic understanding of the system, devices, and game rules.
- 📋 We received the task in January 2025.
- 🔧 From April 2025, we began intensive task preparation.
- 🎯 Before the final competition, we could solve 100% of the task.
- 👧👧 Two amazing girls scored 100 points on their own
- 🥈🎉 2nd place in their group!
- 🤝 Keep friendship difficulties together — crying and laughing side by side 😢😂💪
⚠️ Key Lessons
- ❌ Don’t rely on the color sensor – it’s inconsistent and unreliable under different light conditions.
- ⚙️ LEGO Strike Stake doesn’t behave as expected due to physical instability:
→ lighting 💡, wheels 🛞, ground texture 🪵, battery levels 🔋 all affect performance! - 🧱 Avoid block programming – it’s a nightmare for:
- 1. debugging 🐛
- 2. maintenance 🛠️
- 3. understanding logic 🧠
4. Use Python instead – it’s clearer, scalable, and more logical 🐍✨ - 🕐 Speed matters! Knowing is not enough – you must finish fast to win ⏱️
- 🗺️ Strategy over perfection – focus on solving the task effectively within limited time.
- 🌟 Curiosity beats competition – stay passionate and explore, especially for young girls 💪👩🔬
🚀 Actions of 2026 WRO
- ✅ Use Python for better logic and code management
- 🔁 Practice with tasks from previous years for broad experience
- 🤖 Leverage AI tools (like Copilot) to help the team learn independently
- 💡 Be ambitious, stay curious, and encourage girls to lead boldly! 👧🚀💕
- 🧑🏫👩🏫 To become a better coach 🤝, focus on being patient 🧘♂️ Connect with other coaches to learn and grow together 📈.
Qunfei@Data, ML and AI Architecture 
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