This repository provides the firmware and desktop tools for Petoi's quadruped robots (Bittle, Nybble, Chero). The core is an Arduino-based firmware (OpenCat.ino) running on ATmega328P (NyBoard) that handles servo control, gait generation, IMU integration, sensor processing (IR, ultrasonic, gesture, voice), and skill execution via pre-programmed motion sequences. A Python desktop application (pyUI) offers firmware upload, joint calibration, skill composition, and debugging. A Python serial API (serialMaster, OpenCatPythonAPI) enables scripting robot behaviors. The architecture is monolithic firmware with conditional compilation for multiple hardware variants and sensor options. While the project has a large user base and extensive documentation, the codebase shows signs of technical drift: it is explicitly legacy (development moved to OpenCatESP32), relies on outdated libraries, has duplicated code (e.g., three copies of IRremote), and uses global state and hardcoded paths. The skill system and serial protocol are well-defined patterns, but overall reusability is limited by tight coupling to specific hardware and board versions.
This repository is a curated markdown list of links to free online video courses in computer science and related fields. It contains no source code, no data pipelines, no applications, and no tests. The entire substantive content resides in README.md, which organizes hundreds of video links under topical headings such as algorithms, machine learning, operating systems, and computer vision. CONTRIBUTING.md and NOTES.md provide brief guidelines explaining the philosophy of the list (concise, link-centric, no course descriptions) and contribution rules. The repository functions as a community-maintained directory or bookmark collection rather than as a software project or data research repository. While it has high star and fork counts, the code base is nonexistent; the only files of significance are three markdown documents. The last commit was in June 2026, but the list nature means that link rot is likely over time, and there is no automated validation of links.
This repository is a curated list of robotics learning resources, including links to online courses, textbooks, blogs, and hands-on projects. It contains no executable code, no data pipelines, and no software architecture. The only files are markdown documents (README.md, BOOKS.MD, PROTOTYPING.md) and the LICENSE file. The repository serves as a reference guide for robotics enthusiasts, but it is not a software application or a data research project. It has no entry points, no dependencies, and no testable components. For AI agents searching for reusable code or data engineering assets, this repo provides no actionable content. It is essentially a static knowledge base with outdated links (some referencing issues from 2020).