Total Training Time
Carnegie Mellon Robotics Academy Curriculum
Program Cost
This Program Is Ideal For:
- Maintenance technicians
- Industrial maintenance personnel
- Automation technicians
- Manufacturing professionals
- Engineers
- Electricians
- Controls specialists
- and anyone seeking to build practical skills in industrial robotics and automation.
Participants Will Gain Experience In:
- Programming Arduino microcontrollers using industry-relevant coding principles.
- Understanding software foundations, including variables, functions, loops, conditionals, and modular programming.
- Integrating sensors, motors, and robotic components into functional systems.
- Troubleshooting hardware and software issues in robotic applications.
- Applying robotics concepts to manufacturing and industrial automation environments.
- Developing problem-solving and critical-thinking skills through project-based learning.
Program Overview
This intensive program follows the Carnegie Mellon Robotics Academy curriculum, providing participants with practical experience in robotics integration, programming, and troubleshooting using Arduino-based platforms.
This 36-hour training program combines Software Foundations with Arduino and Robotics Integration with Arduino, equipping participants with the knowledge and confidence to understand robotic systems, develop control programs, integrate sensors and actuators, and solve real-world automation challenges.
By the end of the program, participants will have a solid foundation in robotics programming and integration, enabling them to contribute more effectively to automated processes, support robotics implementation initiatives, and enhance productivity within their organizations.
Curriculum
This hands-on training emphasizes practical application, allowing participants to work directly with Arduino hardware and robotics systems while completing exercises and projects that mirror real-world industrial scenarios.
Meet the Instructor
Dr. Joao Dias
Associate Professor of Mechanical Engineering
Dr. Dias’s primary research interests lie in automotive engineering, robotics, 3-D printing, and the application of artificial intelligence to solve complex mechanical engineering problems. As a passionate educator, he is deeply committed to enhancing student learning through engaging hands-on activities and real-world engineering applications.
In addition to his teaching and research, Dr. Dias serves as the faculty advisor for the collegiate chapter of the Society of Automotive Engineers (SAE) at Shippensburg University and the Ship SAE BAJA team, fostering student involvement in automotive innovation and competition. He is also a certified Robotics Integration and Software Foundations instructor, a credential earned from the prestigious Carnegie Mellon Robotics Academy.