This project is an emulation of the original Tamagotchi P1 designed to run on Arduino UNO hardware. It uses TamaLib as its core engine, with heavy optimizations applied so it can function within 32K Flash and 2K RAM limitations.
- Emulation based on TamaLib optimized for low memory
- Uses SSD1306 I2C OLED displays via the U8g2 library
- Requires specific hardware including push buttons, resistors, and a buzzer
- Includes instructions to convert Tamagotchi ROM files into C headers using Java
- Emulation based on TamaLib optimized for low memory
- Uses SSD1306 I2C OLED displays via the U8g2 library
- Requires specific hardware including push buttons, resistors, and a buzzer
- Includes instructions to convert Tamagotchi ROM files into C headers using Java
NocKinematics is a modern, modular, and lightweight C++ Inverse Kinematics library designed specifically for Arduino and ESP32 microcontrollers. It utilizes the FABRIK (Forward And Backward Reaching Inverse Kinematics) algorithm to provide fast, iterative computations that are more efficient than traditional Jacobian Matrix approaches. The library is optimized for memory-constrained systems like AVR and ESP8266 by using specialized dynamic memory allocation to prevent RAM fragmentation.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
The author explores the potential of running an AI agent framework on low-cost hardware by testing MimiClaw, an OpenClaw-inspired assistant, on an ESP32-S3 microcontroller. Unlike traditional AI setups, MimiClaw operates without Node.js or Linux, requiring the user to flash custom firmware using the ESP-IDF framework. The setup integrates with Telegram for interaction and utilizes Anthropic and Tavily APIs for intelligence and web searching. Despite the technical hurdles of installation and potential API costs, the project successfully demonstrates a functional, sandboxed, and low-power personal assistant capable of persistent memory and routine tracking.
This project details how to serve offline content (Wikipedia, etc.) from an ESP32 microcontroller, specifically using a LILYGO T-Dongle-S3. It covers the process from downloading ZIM files, processing them with Python scripts, transferring to an SD card, and loading a sketch onto the microcontroller to serve the content via a WiFi access point.
This article provides a comprehensive guide on choosing the best ESP32 LVGL development board, covering key features like RAM, CPU performance, display interface, and touch support. It also discusses different ESP32 variants and their suitability for LVGL projects, along with pros and cons, pricing, and sourcing tips.
An introduction to the ESP32 microcontroller for IoT projects, covering MicroPython and Arduino IDE programming.
This project details building a small interactive desktop 'pet' using an Xiao ESP32 S3 microcontroller, a 0.9-inch OLED display, and a 3D printed case created with JUSTWAY.
Adafruit and the maker community are criticizing Qualcomm's new terms of service for Arduino, citing concerns about user data, reverse-engineering restrictions, and a departure from open-hardware principles. The article also details the history of Arduino and its origins in the Wiring project.
The Adafruit Feather Bluefruit Sense takes the popular Feather nRF52840 Express and adds a comprehensive set of sensors, making it an excellent wireless sensor platform with Bluetooth Low Energy, native USB support, and Arduino/CircuitPython compatibility. It features environmental and motion sensing capabilities including 9-DoF motion sensors, proximity/light/color/gesture sensor, PDM microphone, humidity sensor, and barometric pressure sensor.
Jeff Geerling reviews the Arduino Uno Q, a Qualcomm-powered board that blends microcontroller and SBC functionality. He explores its hardware, performance, software (App Lab), and potential applications, finding it to be a unique but somewhat awkward offering in the SBC market.
