About the Program
The Robotics & Automation pathway at Nova Haven offers an immersive, laboratory-centric curriculum engineered to equip participants with critical hardware-software integration competencies. In an industrial landscape transformed by cyber-physical systems, smart manufacturing, and mechanical automation, this program bridges foundational electronics theory with industrial-grade engineering practices, training next-generation systems builders.
Why This Program?
Our educational framework is built around physical prototyping and diagnostic mastery. Students progress from manual breadboarding and microcontroller flashing to constructing complex kinematic structures. The curriculum integrates sensor networking, embedded system programming, feedback loop tuning, and Robot Operating System (ROS2) controls.
Who It's For
This program is structured for ambitious youth (ages 16–25) seeking specialized entry-level roles in embedded engineering, robotics assembly, or manufacturing support. Prior experience in hardware design is not required—the pathway provides structured, hands-on onboarding from foundational circuits to advanced autonomous architectures.
What You'll Learn
Career Opportunities
Graduates exit the program with a physical portfolio of custom-built robotics assemblies, CAD models, and embedded source repositories. This prepares them for key entry-level industrial roles:
Pathways Syllabus
Module 1: Microcontrollers & Motor Circuits
- Basics of voltage, Ohm's law, breadboarding, and safety guidelines.
- GPIO configurations: writing code to control sensors, lights, and switches.
- Motor control: operating stepper, DC, and servo motors for robot locomotion.
Module 2: Robot Operating System (ROS2)
- ROS2 architecture: Nodes, Topics, Messages, Publishers, and Subscribers.
- Robot kinematics, chassis assembly, and hardware integration.
- Pathplanning simulations and sensor feedback loops.
Module 3: Advanced Sensor Fusion & Autonomous Navigation
- Integrating LiDAR, ultrasonic sensors, and IMU telemetry to construct real-time navigation profiles.
- Implementing SLAM (Simultaneous Localization and Mapping) and autonomous path planning in simulation environments.
- Safety protocols in automated environments, mechanical diagnostics, and hardware validation trials.