Robotics & Embedded AI

Master Python for Real Projects

Elective warm-up. Useful for training models and MicroPython.

5 milestones

1. 1Write Pythonic code, not just Python
2. 2Work with APIs and external libraries
3. 3Write tests for your own code
4. 4Build a data pipeline from files
5. 5Publish a Python package on PyPI

Build a Robot That Senses and Reacts

Required. Sensors in, motors out, one tuned behaviour — the robot the capstone runs on.

3 milestones

1. 1Read one sensor and log it
2. 2Make it move under control
3. 3Tune it and explain the build

Embedded Systems Design

Elective. Deeper hardware design for a sturdier robot.

3 milestones

1. 1Define the embedded system requirements and produce a hardware block diagram
2. 2Implement and verify the embedded system on hardware or simulator
3. 3Produce an embedded systems design report and present for technical review

Run Your Own ML Model On-Device

Required. Your own data, your own model, running live on the device — the capstone needs it.

3 milestones

1. 1Collect your own labelled data
2. 2Train and test the model
3. 3Run it live on the device

Embedded Firmware Implementation

Elective. Firmware skills for tighter timing and lower latency.

3 milestones

1. 1Set up the embedded development environment and implement a hardware abstraction layer
2. 2Implement and test a complete firmware application using the HAL
3. 3Produce a firmware design document and conduct a code review

Ship an Autonomous Robot Task

Required capstone. Combines the robot and the model into one autonomous task, demoed live.

3 milestones

1. 1Define the task and success test
2. 2Build and run the trials
3. 3Demo it live and defend it