This repository is a step-by-step roadmap for becoming an expert in robotics and artificial intelligence.
Check off each item as you learn it: [ ] → [x].
- Linear Algebra: vectors, matrices, eigenvalues
- Calculus: derivatives, gradients, partial derivatives
- Probability & Statistics: probability distributions, Bayes theorem
- Physics (Robotics): kinematics, dynamics, force, torque
- Python
- C / C++
- Linux / Ubuntu basics (bash, terminal, device drivers)
- Git & GitHub workflow
- Docker basics, CI/CD
- Machine Learning (Supervised / Unsupervised)
- Regression, Classification, Clustering
- Python ML Stack: scikit-learn, Pandas, NumPy, Matplotlib
- Neural Networks (PyTorch or TensorFlow)
- CNN, RNN, Transformers
- Reinforcement Learning (for autonomous robots)
- Embedded Systems: Arduino, Raspberry Pi
- Sensors & Actuators: ultrasonic, IMU, motor drivers
- ROS / ROS2: nodes, topics, services, RViz, Gazebo
- Robot Kinematics & Path Planning: A*, RRT, Dijkstra
- SLAM: mapping & localization
- OpenCV: image processing, filters, contour detection
- Object Detection: YOLO, Detectron
- Pose Estimation & Depth Sensing
- REST API / GraphQL
- JSON / XML
- MQTT (for IoT and robot communication)
- Unit Testing (PyTest / Jest / JUnit)
- Integration Testing
- Test Driven Development (TDD)
- Code Formatting & Linting: ESLint, Prettier
- Cloud basics: AWS / GCP / Azure
- Serverless architecture
- Microservices (advanced)
- Hardware Acceleration: CUDA, GPU / TPU
- Edge AI (running models directly on robots)
- Line-following robot
- Obstacle-avoiding robot
- Face recognition robot
- Voice-controlled robot
- Autonomous mapping robot (SLAM)
- Self-learning robot (Reinforcement Learning)
- Autonomous drone
- Robot with human interaction & motion
- Integrated Robot + AI simulation with physics engine
- Problem-solving skills
- Teamwork & communication
- Clean code practices
- Basic system design understanding
📌 Notes
- Check off each item as you learn it
[ ] → [x]. - Reinforce theory with small projects.
- Follow the learning order: Simulation → Physical Robot → AI Integration.