Modern robotics education often relies on high-level software abstractions that hide the underlying physical layer. While commanding a robot to drive forward using a single line of Python code is convenient, true engineering mastery requires understanding what occurs at the hardware interface. This course transforms the Experiential Robotics Platform (XRP) into an active mechatronic testbed. By using the Red Pitaya STEMlab as a high-precision diagnostic bridge , you will intercept, measure, and analyze real-time electronic signals flowing between the microcontroller, motor drivers, and sensors. You will bridge the gap between abstract code execution (MicroPython) , physical actuator dynamics (H-bridges, DC motors) , and real-time signal instrumentation.
Table of contents:
💡 Prerequisite: This course assumes your XRP robot is already fully assembled. If you have not built your robot yet, please watch the official SparkFun XRP Assembly Video here before proceeding.
Safety guidelines
💡 Before diving in, make sure to understand:
XRP Power States and Safe Oscilloscope MeasurementPWM & Motor Control Dynamics
In this lesson, we investigate how the XRP converts MicroPython motor commands into electrical control signals. Using the Red Pitaya STEMlab oscilloscope, you will observe the PWM signals sent to the XRP motor drivers and examine how frequency and duty cycle influence motor behavior. You will measure 3.3 V logic signals, compare the observed waveforms with the commanded motor effort, and use the measurements to verify that the expected control signals are present.
Ultrasonic Distance Measurement
In this lesson, we investigate how the XRP uses ultrasonic pulses to measure the distance to nearby objects. Using the Red Pitaya STEMlab oscilloscope, we observe the Trigger and Echo signals, measure the Echo-pulse width, and calculate the corresponding target distance. We compare the oscilloscope-based distance with ruler measurements and the value reported by the XRP, while also examining how target size, material, alignment, and beam spread affect the reliable measurement range.
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