Course Details
Home> Course Details
Futuristic Automotive Series
Course Overview
The Neo-Think Car is an innovative kit that lets you build and program your own self-driving car using blocks, teaching you valuable coding and AI skills through hands-on experience. Through the NEOBOT APP, you can customize the car’s programming to adapt to different environments. The car’s self-driving capabilities rely on sensors that detect obstacles and track the path.
You can also design custom obstacle paths to test your coding strategies. Through this kit, you’ll gain practical experience in robotics, coding, and AI, learning by applying Advanced Driver Assistance System (ADAS) functions in a fun and interactive way. You’ll develop problem-solving skills and learn to think creatively about coding and AI applications.
Learning Outcomes
- Learn to integrate multiple sensor inputs and motor control for autonomous navigation.
- Understand how to program and manipulate servo motor speed and direction.
- Study about LED block, Pin Seperator, and Block Seperator.
- Use and learn about the limitations of the various color values of a Color Sensor.
- Control the limit speed following the readings of the Color Sensor.
- Explore the application of color, speed, and infrared sensors in robotic systems.
- Learn about hardware components and their functions in sensor-based systems.
- Learn how to configure and utilize color sensors for object or signal detection.
- Implement dynamic speed adjustments based on environmental color cues.
- Understand the logic and coding behind automated parking mechanisms.
- Learn to use distance sensors for real-time speed regulation and braking.
- Develop skills in using sensors and actuators to avoid physical obstacles.
- Design a custom course or obstacle path that incorporates various sensor inputs and motor controls.
- Implement direction control strategies using feedback from distance sensors.
- Design and execute automated parallel parking using sensor-based inputs.
- Develop an innovative coding strategy to enhance the car’s navigation and obstacle avoidance capabilities.
Courses
Meet Our Teacher
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.
