| Phase | Main Area | Technologies & Concepts | Objective |
|---|---|---|---|
| 1. Foundations | Math, Programming & Electronics |
|
Build a solid foundational knowledge of math, programming, and core electronic components. |
| 2. Control Systems | Control Theory & Simulation |
|
Understand and apply automatic control principles to manage the behavior of mechanical systems. |
| 3. Robot Mechanics | Kinematics & Dynamics |
|
Analyze the motion, forces, and torques of robot structures. |
| 4. Robot Perception | Computer Vision & Sensors |
|
Enable robots to "see" and understand their environment to localize themselves and create maps. |
| 5. Artificial Intelligence | Machine Learning & Planning |
|
Equip robots with the ability to learn from experience and make optimal decisions on their own. |
| 6. Specialization | Integration & Application |
|
Apply knowledge to develop automation solutions for specific industries. |
Core Mindset
1. Systems Thinking
A robot is a complex system of software, hardware, and mechanics. Understanding how they interact is key.
2. Safety First
Robots, especially industrial ones, can be dangerous. Safety protocols and risk assessments are critically important.
3. Persistent Debugging
Bridging the gap between simulation and reality is always challenging. Be prepared for continuous testing and debugging.
4. Real-World Problem Solving
Focus on creating robust, reliable, and efficient solutions for real-world tasks.