// the find
rishabh-bavithran/InventoryBot-Autonomous-Warehouse-Widget-Inventory-Management
A university project implementing an autonomous warehouse robot that navigates via directional markers and counts inventory using ArUco tag detection. The robot runs on a Raspberry Pi with a Propeller microcontroller handling motor control. This is a student robotics demo, not a reusable library or deployable system.
ArUco tag-based inventory detection is a practical, well-established approach for this kind of task. Splitting hardware control (Propeller C) from vision/logic (Pi Python) reflects a reasonable embedded architecture. The problem scope is concrete and well-defined for a course project.
Zero documentation of the actual code — no comments, no API description, no wiring diagram, nothing explaining how the two programs communicate. Single-file C with no build system means you cannot reproduce this without reverse-engineering the hardware setup from the PDF. No stars, no forks, last touched two years ago, and the PDF report is the only real artifact — this is an archived class submission, not a maintained project anyone should build on.