Explore Mars Exploration Made Easy: GalaxyRVR, compatible with Arduino, navigates diverse terrains effortlessly, powered by solar charging. With real-time FPV, smart obstacle avoidance, and remote control, you're set for a genuine Martian adventure from anywhere.
Arduino Alvik: A Cross-Discipline Tool for Robotics and Programming
* Easy programming: The Alvik is powered by the versatile Nano ESP32, which streamlines the learning curve in robotics with its comprehensive programming suite that includes MicroPython and Arduino language.
* Robotic potential: The Alvik comes with multiple integrated sensors, including a Time of Flight, RGB color and line-following array, 6-axis gyroscope and accelerometer, and touchable buttons. This allows users to tackle a range of innovative, real-world projects.
* Design flexibility: The Alvik features LEGO Technic connectors, allowing users to personalize the robot and expand its capabilities. It also has M3 screw connectors for custom 3D or laser-cutter designs.
* Connectivity: The Alvik has Wi-Fi and Bluetooth LE connectivity, making it easy to connect to other devices.
* Easy programming: The Alvik is powered by the versatile Nano ESP32, which streamlines the learning curve in robotics with its comprehensive programming suite that includes MicroPython and Arduino language.
* Robotic potential: The Alvik comes with multiple integrated sensors, including a Time of Flight, RGB color and line-following array, 6-axis gyroscope and accelerometer, and touchable buttons. This allows users to tackle a range of innovative, real-world projects.
* Design flexibility: The Alvik features LEGO Technic connectors, allowing users to personalize the robot and expand its capabilities. It also has M3 screw connectors for custom 3D or laser-cutter designs.
* Connectivity: The Alvik has Wi-Fi and Bluetooth LE connectivity, making it easy to connect to other devices.
Laser distance scan sensor (LDS/LIDAR) Arduino wrapper/controller for kaia.ai home robot software platform
MIT CSAIL researchers have developed three neurosymbolic frameworks - LILO, Ada, and LGA - that use natural language to help large language models (LLMs) build better abstractions for coding, AI planning, and robotics tasks.
