As robotics systems become increasingly autonomous and intelligent, understanding how robots perceive, navigate, and interact with their environment is becoming a key competency for future engineers and technology professionals.

This advanced robotics course introduces participants to the Experiential Robotics Platform (XRP), providing a practical learning environment for exploring autonomous navigation, sensor integration, robotics programming, and engineering design. Through hands-on experimentation and real-world robotics challenges, students will learn how autonomous robots make decisions, navigate complex environments, and perform tasks with precision.

The course emphasizes computational thinking, engineering problem-solving, and teamwork while preparing participants for advanced robotics applications and competitive robotics environments.

• Introduce participants to advanced robotics concepts and autonomous systems.
• Develop programming skills for robot navigation and control.
• Explore sensors, microcontrollers, and robotic communication systems.
• Understand how robots collect, process, and respond to environmental data.
• Develop problem-solving and engineering design skills through robotics challenges.
• Promote teamwork, collaboration, and iterative development processes.
• Prepare students for advanced robotics competitions and STEM pathways.

At the end of the course, participants will be able to:

• Program autonomous robotic systems using advanced control strategies.
• Develop and optimize line-following and obstacle-avoidance algorithms.
• Utilize sensor data to improve robot decision-making and performance.
• Understand the operation of gyroscopes, encoders, and navigation systems.
• Design, test, and refine autonomous robotic solutions.
• Apply engineering principles to solve real-world robotics challenges.
• Demonstrate teamwork and strategic thinking in competitive robotics scenarios.

• Secondary school students (14+)
• Advanced STEM and robotics learners
• Vocational education and training (VET) students
• Participants with prior robotics or coding experience
• Students interested in engineering, automation, and autonomous technologies

Day 1 – Introduction to XRP Robotics and Autonomous Systems

• Overview of autonomous robotics and intelligent systems
• Introduction to the XRP Robotics Platform
• Hardware architecture, microcontrollers, and communication systems
• Understanding robot movement and navigation principles
• Initial programming and testing activities

Day 2 – Sensors and Precision Movement

• Exploring gyroscopes, encoders, and distance sensors
• Sensor calibration and data collection
• Precision navigation and movement control
• Programming sensor-based robot behaviour
• Practical robotics exercises

Day 3 – Autonomous Navigation and Pathfinding

• Introduction to pathfinding algorithms
• Line-following and navigation strategies
• Obstacle detection and avoidance systems
• Decision-making processes in autonomous robots
• Team-based navigation challenges

Day 4 – Advanced Robotics Engineering Challenge

• Optimization of autonomous behaviours
• Debugging and performance improvement
• Engineering design and iterative development
• Preparation for robotics competition scenarios
• Collaborative project development

Day 5 – Competitive Robotics Tournament

• Autonomous robotics missions and challenges
• Team competition focused on speed, precision, and efficiency
• Performance evaluation and optimization rounds
• Project presentations and reflection session
• Course evaluation and certification ceremony

The length and the contents of the programmes can be modified according to the needs, more details will be given to interested organizations. Certificate of attendance by EDUACT will be awarded. 

The programme, on request and with an extracharge, may include cultural and outdoor activities, etc.