Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Robotics and mechatronics engineers
• Embedded systems and automation professionals
• Drone developers and UAV technicians
• Computer science or engineering students interested in real-world applications
• Technologists and researchers working on autonomous systems

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

By the end of this course, participants will be able to:

• Understand the fundamentals of Python programming for embedded and robotic systems
• Interface Python with robotics hardware including motors, sensors, and controllers
• Develop basic control algorithms and automation workflows
• Process sensor data (IMUs, GPS, LIDAR) and apply it to real-time decision-making
• Design and simulate drone operations using Python-based frameworks

DAY 1

Introduction to Python and Robotics Foundations

• Welcome and introduction
• Pre-test
• Python basics: syntax, data structures, functions, loops
• Object-oriented programming for robotics
• Introduction to robotic components: sensors, actuators, controllers
• Setting up Python with Raspberry Pi/Arduino or microcontroller emulators
• Lab: Build a simple Python-controlled motor system

DAY 2

Sensor Integration and Data Acquisition

• Working with digital and analog sensors using Python
• Reading from IMUs, GPS modules, ultrasonic and IR sensors
• Python libraries: PySerial, NumPy, Matplotlib, Pandas
• Real-time data acquisition and logging
• Lab: Build a sensor dashboard using Python

DAY 3

Robotics Control Logic and Motion Programming

• Motor control using PWM and GPIO
• Path following and obstacle avoidance algorithms
• PID control basics using Python
• Simulation tools: VREP/CoppeliaSim, Webots or ROS for Python
• Lab: Create a basic wall-following robot logic

DAY 4

Drones and UAV Systems with Python

• Drone components overview (ESC, flight controller, IMU, GPS, telemetry)
• Introduction to DroneKit-Python and MAVLink communication
• Writing autonomous flight missions with Python
• Real-time telemetry and sensor feedback for drones
• Lab: Simulate an autonomous drone flight in SITL (Software In The Loop) environment

DAY 5

Project and Future Integration

• Lab Project: Develop and present a complete Python-based robotics or drone solution
• Integrating cloud-based services and APIs (e.g., remote control via Python scripts)
• Best practices in code management, version control (Git), and hardware debugging
• Trends in Python-based robotics frameworks (MicroPython, ROS2-Python, AI integration)
• Wrap-up
• Post-test
• Certificate ceremony

Tools & Platforms Used:

• Python (3.x), DroneKit, PySerial, Raspberry Pi / Arduino (simulated), SITL
• Optional: ROS (Robot Operating System), VREP/CoppeliaSim