Embedded Systems and Robotics Software
Where robotics engineering actually begins.
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Participants can interact with the instructor,
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You can retake the same course you attended.
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We will provide you with the notes for the course.
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We will provide you with the homework
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You can always reach out to the instructor
between sessions or after the course on Slack.
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Upcoming Enrollment
October 1st - October 9th
0 sessions 6 hours each
Online, US Eastern Time
Build the Foundation of a Robotics Engineering Career
Modern autonomous systems are much more than isolated mechanical frames. Behind every production-grade mobile robot, drone, or industrial manipulator is a complex combination of embedded hardware, electronics, real-time software, sensor networks, communication topologies, and control algorithms working as a single machine.
This course is where professional robotics software engineering begins. Instead of simply assembling a pre-built kit, you will learn to design and build a working robotic system from the ground up. You will master embedded systems, Raspberry Pi 5, ESP32, Python, Linux, electronics, motor control, sensors, and communication protocols for real-time robot control. Why Take This Robotics Engineering Course? Why Take This Robotics Engineering Course? There is a major difference between knowing how to write code and knowing how to build software that controls a physical machine. Robotics engineers have to understand both. Your software must communicate with sensors and microcontrollers. Motors must maintain their speed when the load changes. Hardware must recover from communication errors. Linux applications must start automatically when the robot powers on. Power systems must support every component without causing brownouts. Sensor measurements must be converted into meaningful information about how the robot is moving. This course teaches you to work across that entire stack. You will learn not only what to do, but also why robotics systems are engineered this way.
What You Will Learn
This course gives you hands-on experience with the core technologies behind modern robotic systems, combining Raspberry Pi 5, Linux, ESP32, MicroPython, electronics, motor control, communication protocols, and robotics mathematics into one practical learning path. You will configure a headless Raspberry Pi 5, work with the Linux command line, SSH, Python virtual environments, Bash automation, and systemd services; program an ESP32 using GPIO, PWM, interrupts, encoders, motors, and serial communication; and learn how microcontrollers and single-board computers work together within a robotics architecture. You will develop practical electronics skills by building and diagnosing circuits, reading component datasheets, using a multimeter, understanding GPIO pinouts, calculating power requirements, and troubleshooting problems such as brownouts. You will control physical movement using DC motors, H-bridge motor drivers, PWM, rotary encoders, closed-loop velocity control, PID control, stall detection, and fault protection, while connecting the Raspberry Pi and ESP32 through UART communication and designing reliable protocols using message framing and checksums. You will also develop the mathematical foundation required for robotics.
Build a Robotics Portfolio
By the end of the course, you will have built a fully integrated robotic platform that brings together embedded hardware, electronics, Linux, Python, microcontroller programming, motor control, feedback systems, communication protocols, and robotics mathematics. Your robot will boot and operate independently, automatically launch its robotics software, communicate between the Raspberry Pi and ESP32, exchange validated telemetry and commands, control motor velocity using encoder feedback, maintain commanded speed as conditions change, detect motor stalls and protect its hardware, and estimate its movement and position using wheel odometry. This is not a collection of isolated exercises—you will build a complete robotic system while creating a tangible engineering portfolio project, including a working robot, a documented GitHub repository, and a demonstration video that you can showcase when applying for internships, engineering programs, robotics projects, or technical positions.
Skills You Will Walk Away With
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1
Linux & System Administration
- Flash and boot a headless Raspberry Pi 5 with no monitor or keyboard attached
- Find a device on the network and connect to it over SSH
- Navigate the Linux filesystem, manage file permissions, and inspect running processes
- Write and manage `systemd` services so your code starts automatically on boot and restarts after a crash
- Work in Python virtual environments and manage dependencies on Single-Board Computer (SBC)
- Basic Bash for automation and device setup
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2
Embedded Hardware
- Raspberry Pi 5, including its RP1 I/O architecture and what it changed for GPIO code
- ESP32 microcontroller programming in MicroPython
- GPIO control with `gpiozero` and `rpi-lgpio`
- PWM signal generation for motor speed control
- UART serial communication between two independent processors
- Rotary encoders — interrupt-driven pulse counting and conversion to velocity
- DC motors and H-bridge motor drivers
- I2C and SPI at introduction level — recognize them, know what they're for
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3
Practical Electronics
- Apply Ohm's law to real circuits
- Build circuits on a solderless breadboard and read its internal topology correctly
- Read BCM and BOARD pin numbering and use the `pinout` command
- Read a component datasheet to find real voltage and current limits before you exceed them
- Use a multimeter to verify supply rails and current draw
- Build a power budget for a complete robot and select an appropriate supply or battery
- Recognize and diagnose brownouts
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4
Real-Time Control
- Closed-loop velocity control using encoder feedback under changing load
- Practical PID tuning (applied, not derived)
- Stall detection and automatic fault cutoff to protect hardware
- Architect a system across two processors — real-time work on a microcontroller, supervision on Linux — and explain why
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5
Communication Protocols
- Design a serial protocol from scratch: message framing, structure, and checksums
- Validate incoming data and handle corrupt or partial frames gracefully
- Debug a physical link that fails intermittently rather than cleanly
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6
Applied Math & Data
- 2D rotation matrices and coordinate transformation
- Numerical integration applied to motion
- Dead-reckoning kinematics from wheel encoder data
- NumPy for sensor data processing
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7
Engineering Judgment
- Choose between a microcontroller, a single-board computer, and an AI edge module for a given job
- Explain what interpreted firmware (MicroPython) costs versus C in determinism and memory, and where the line is that forces a rewrite
- Measure accumulated dead-reckoning drift and explain what it implies about needing absolute position sensing
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8
Portfolio Outcome
- A working robot base that boots unattended, reports telemetry as a system service, holds a commanded velocity over a checksum-framed serial link, cuts out on stall, and tracks its own position
- A public GitHub repository documenting the build
- A 90-second demo video
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Why Take This Robotics Engineering Course?
There is a major difference between knowing how to write code and knowing how to build software that
controls a physical machine.
Robotics engineers have to understand both.
Your software must communicate with sensors and microcontrollers.ors must maintain their speed
when the load changes. Hardware must recover from communication errors. Linux applications must start
automatically when the robot powers on. Power systems must support every component without
Why Take This Robotics Engineering Course?
There is a major difference between knowing how to write code and knowing how to build software that controls a physical machine.
Robotics engineers have to understand both.
Your software must communicate with sensors and microcontrollers. Motors must maintain their speed when the load changes. Hardware must recover from communication errors. Linux applications must start automatically when the robot powers on. Power systems must support every component without
Why Take This Robotics Engineering Course? There is a major difference between knowing how to write code and knowing how to build software that controls a physical machine. Robotics engineers have to understand both. Your software must communicate with sensors and microcontrollers.ors must maintain their speed when the load changes. Hardware must recover from communication errors. Linux applications must start automatically when the robot powers on. Power systems must support every component without
Why Take This Robotics Engineering Course? There is a major difference between knowing how to write code and knowing how to build software that controls a physical machine. Robotics engineers have to understand both. Your software must communicate with sensors and microcontrollers. Motors must maintain their speed when the load changes. Hardware must recover from communication errors. Linux applications must start automatically when the robot powers on. Power systems must support every component without