Robotics & Autonomous Systems Professional (Foundation Certificate)

"A short orientation before the soldering iron. What a robot and an autonomous system are, the sense-think-act loop every one of them runs, and why robotics is a systems discipline where hardware, software and intelligence have to meet. You leave knowing the shape of the work, how the three levels build, and where the pathway leads."

"The vocabulary and mental models a robotics professional works with. Robot anatomy and the sense-think-act loop, how position and orientation are described, core terminology, robot classes, and a survey of the platforms the industry actually uses."

"Circuits, voltage and current, reading schematics and breadboarding, power and safety, diagnostics with a multimeter and oscilloscope, choosing the right components, and soldering and hand assembly. The electronics grounding every hardware course after this one needs."

"Robotics is mechatronics, and RASA-FOUND currently has zero mechanical content. A robot is a physical object that has to hold together, move, and carry its own electronics through the world. Mechanisms and how motion is transmitted, CAD for parts and assemblies, fabrication (3D printing, laser cutting, basic machining), choosing materials, and mounting everything so it survives use."

"How a robot perceives and moves. The main sensor and actuator families, how to choose them, how to wire them to a microcontroller, how to read a real datasheet, and why a raw reading is not a trustworthy one until it is filtered and calibrated."

"Writing the firmware that runs on the chip. Microcontroller architecture and GPIO, writing and flashing firmware, real-time constraints and interrupts, the Arduino / ESP32 toolchains, and debugging embedded code when there is no screen."

"Moving from a breadboard sketch to a circuit you can actually build and rely on: power regulation and conditioning, structured prototyping practice, and the basics of laying out a PCB."

"How the parts of a robot talk to each other: I2C multi-device buses, high-speed SPI, UART for serial debugging, and CAN bus for larger robotic systems."

"Keeping a mobile robot running: power budgeting, battery chemistry and safety, managing batteries in the field, and the basics of a battery management system."

"Making things move under control: motor driver circuits, PWM speed and direction control, choosing the right actuator -- servo vs. stepper vs. BLDC -- and closing the loop with encoder feedback so you know where the motor actually went."

"How a robot works out where its parts are and how to move them to a goal. Describing position and orientation with frames and transforms, forward and inverse kinematics for arms, the motion models for wheeled and legged robots, and a first look at planning a smooth, safe path. Sits between Control Systems and Programming Robot Behaviour, which both assume it."

"Closing the loop. Open-loop vs. closed-loop control, PID fundamentals, tuning and stability, simulation, implementing a loop on real hardware, and a first look at estimating state you cannot directly measure."

"The course RASA-FOUND is missing. A robot is not just wired components -- it needs code that reads its sensors, decides what to do, and commands its actuators, on a loop, in real time. State machines, structuring robot code so it stays readable, an introduction to ROS, and the skill of debugging a robot while it is running."

"Where the learner moves from "I can build a robot" to "I can work out what this system must do, in what environment, within what limits." Finding the real task under "we need a robot", reading what the operating environment imposes on the design, and writing testable requirements for a physical autonomous system -- including the ones that do not show up in a demo: safety, power, reliability, weight. First course vehicle inside RASA-FOUND for the two Solution Architecture competencies."

"The "think" in sense-think-act, at Foundation depth: awareness and judgement, not hands-on model training. What AI, machine learning and computer vision are and honestly what they cannot do for a robot; how a robot builds a picture of its surroundings; why one sensor is never enough; the step from reacting to deciding; and running intelligence on a robot responsibly -- latency, graceful failure, a human in the loop. Hands-on computer vision and model training are covered at Launch and in the Robotics Specialize tracks."

"What changes when the robot leaves the bench: deploying outside the lab, monitoring and remote diagnostics, maintenance and failure modes, hardening against dust, water and temperature, and thinking across a fleet over years."

"The physical world does not forgive an untested robot. Planning tests from requirements, failure-mode analysis, designing a system that fails safely -- watchdogs, limits, emergency stop -- and proving with a real test report that the build does what the specification said. Closes the loop with Defining Robotic Solutions: you test against the spec you wrote."