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This course combines robotics fundamentals with AI-driven automation, covering robot components, sensors, control systems, and intelligent decision-making. Learners will gain hands-on exposure to building and programming robots that can sense, decide, and act autonomously.
A practical Robotic AI learning journey covering robot components, sensing, motion control, programming, ROS, computer vision, AI decision-making, automation, and an autonomous robot capstone.
Understand core robot components and how robotics is used across sectors.
Understand the core components of a robot: sensors, actuators, controllers, and power systems.
Explore how robotics is used across manufacturing, healthcare, logistics, and service industries.
Learn how robots perceive their environment and move through it.
Study ultrasonic, infrared, and vision sensors used for robot perception.
Understand motors and actuators that enable robots to move and interact with their environment.
Use programming fundamentals to implement robot tasks and learn about ROS.
Program microcontroller-based robot platforms to execute basic tasks and behaviors.
Explore ROS fundamentals used in professional robotics development.
Apply AI concepts to perception and autonomous decisions based on sensor data.
Understand how robots use cameras and computer vision to detect and recognize objects.
Explore how AI models enable robots to make autonomous decisions based on sensor data.
Study fundamental navigation approaches and industrial uses of robotic AI.
Learn fundamental algorithms robots use to navigate and avoid obstacles autonomously.
Study how robotic AI is applied in automated manufacturing and warehouse systems.
Apply sensor, programming, and AI concepts in an autonomous robot project.
Apply sensor, programming, and AI concepts to build a robot that performs an autonomous task.
Demonstrate and present the robotic AI project, explaining design choices.
Build practical Robotic AI skills across robot hardware, sensing, programming, ROS, computer vision, autonomous decisions, and path planning.
Identify sensors, actuators, controllers, and power systems and explore robotics applications.
Understand ultrasonic, infrared, and vision sensors, plus actuators and robot movement.
Program microcontroller-based robot platforms and explore ROS fundamentals.
Explore object recognition and autonomous decision-making based on sensor data.
Learn path planning, obstacle avoidance, and industrial robotic AI applications.
Build and demonstrate a robot that performs an autonomous task.
Take the next step toward practical Robotic AI learning in sensors, programming, AI integration, automation, and an autonomous robot capstone.
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