In this unit, you will learn how to control the basic movement of the VEX IQ Clawbot through sequential programming. You will program your robot to perform simple maneuvers and manipulate objects in its environment.
In this unit, you will learn how to use the digital sensors on the VEX IQ 2nd Gen Clawbot. You will program your robot to perform simple sensing behaviors and respond to objects in its environment with the Touch LED sensor and Bumper Sensor.
In this unit, you will learn how to use the analog sensors on the VEX IQ 2nd Gen Clawbot. You will program your robot to perform simple sensing behaviors and respond to objects in its environment with the Distance sensor and Optical Sensor.
In this unit, you will demonstrate your ability to decompose an open-ended problem into small pieces, and then iterate on a robust solution to the problem.
This badge is a sample activity from the full Coding and Computational Thinking with a Virtual Robot curriculum. In this activity, you will learn how to program the movement of a virtual robot from directly within your web browser while completing challenges themed after the real-world Iris Rover from Carnegie Mellon University.
virtual robot vex iq coding programming computational thinking
In this unit, you will learn how to control the Light Matrix with sequential programming. You will program the lights to make shapes and display text to give your robot the ability to communicate with the outside world!
In this unit, you will learn how to control the basic movement of your SPIKE Prime robot through sequential programming. You will program your robot to perform simple maneuvers and manipulate objects in its environment.
lego spike prime movement programming coding computational thinking
In this unit, you will learn how to use the sensors on the SPIKE Prime robot. You will program your robot to perform simple sensing behaviors and respond to objects in its environment.
spike prime lego programming coding sensors computational thinking
In this unit, you will demonstrate your ability to decompose an open-ended problem into small pieces, and then iterate on a robust solution to the problem.
