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Robowang Mastery Level 4
Course Overview
This level builds on previous skills to create more capable and reliable robots. Students focus on refining control systems, integrating multiple sensors for smoother operation, and improving mechanical designs for better performance. It also introduces semi-autonomous navigation, efficient task execution, and troubleshooting techniques for real-world reliability. By the end, learners confidently design, program, and optimize robots for more complex challenges while strengthening problem-solving and innovation skills.
Learning Outcomes
- Design and program an automated parking system using counters for slot tracking and management.
- Configure and display real-time messages on an LCD for interactive communication.
- Utilize IR sensors to calculate sums and averages in a functional application.
- Build and program a drivable robotic car with basic navigation features.
- Implement wireless robot control using the HC-05 Bluetooth module.
- Operate a grip-enabled robotic arm for object manipulation.
- Construct a lifter robot to elevate and transport small objects.
- Integrate multiple ultrasonic sensors for enhanced obstacle detection.
- Program a robot to follow a line autonomously with precision.
- Apply sensor fusion concepts to improve robot decision-making and responsiveness.
- Enhance mechanical designs for stability, durability, and performance.
- Develop efficient task execution strategies for robotics applications.
- Troubleshoot and debug hardware and software issues effectively.
- Collaborate in teams to design, build, and test robotics projects.
- Document designs, coding logic, and test results for future reference and improvement.
Students will be able to understand and design counter logic and implement it in real-world situations.
- They will learn about a closed-loop control system.
- Students will use a joystick in combination with LCD and display 4 different messages according to the position of the joystick.
- Students will design different logic using an IR sensor and calculate the average and sum.
Students will be able to:
- Learn the design and movement control of robotic vehicles.
- Build a functional robotic car capable of controlled navigaton.
Students will be able to:
- Implement wireless control using the HC-05 Bluetooth module.
- Control robot functions wirelessly through stable Bluetooth communication.
Students will be able to:
- Understand servo-based gripping mechanisms.
- Build a gripper robot to pick and place objects precisely.
Students will be able to:
- Learn mechanical and motor control for lifting mechanisms.
- Construct a lifter robot capable of raising and lowering loads safely.
Students will be able to:
- Integrate multiple ultrasonic sensors for obstacle detection.
- Achieve improved obstacle detection accuracy using sensor fusion. Learn
Students will be able to:
- Learn autonomous navigation using line detection.
- Program a robot to follow a path consistently and reliably.
Students will develop an autonomous robot capable of detecting and avoiding obstacles using sensor input and state machine logic. They will simulate complex environments and program the robot to adjust speed and direction in real time, ensuring safe navigation around static and moving obstacles.
Courses
Meet Our Trainer
Name: Mian Ali Shafiq
Designation: Master Trainer
Experience: 10 years
Mian Ali Shafiq is a skilled Electrical Engineer with a Bachelor’s in Electronics and Communication from the University of Lahore. His expertise spans tools like MATLAB and programming in C++. Alongside his technical background, he holds a Master’s in Education Sciences from the University of Strathclyde. Glassgow and an MBA in Finance from UET. Ali has served as a Subject Head and Coordinator at Crescent Model Higher Secondary School and is currently a Master Trainer at Crescent Emerging Technologies Center (CETC), where he trains students in robotics and technology. His work combines engineering expertise with a strong commitment to education.
