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This guide demonstrates how to add a custom object detection machine learning model to the XRP robot.
This tutorial demonstrates how to train and deploy a custom object detection model for the Google Coral Dev Board Micro.
This project demonstrates using reinforcement learning to solve the swing-up problem on an inverted pendulum
This tutorial demonstrates hyperparameter tuning using Meta's Ax framework for a common reinforcement learning problem
In this tutorial, we demonstrate how to manually tune a PID controller.
In this post, we cover the basic theory behind PID controllers. PID stands for “Proportional, Integral, Derivative," and they are commonly used in industrial settings to control various processes.
Digit's AI-powered brain enables local real-time voice conversations using Hopper Chat and Llama 3. Learn how to set it up with NVIDIA Jetson Orin Nano.
This time we get hands-on: flashing three nodes with the Meshtastic firmware, configuring them through the phone app, and sending our first broadcast, direct, and encrypted channel messages.
In this first part, I want to cover what LoRa is, how mesh networking works, and how the two protocols differ, along with the hardware I will use for the rest of the series.
In this episode, we deploy the trained agent to the real robot and build a web-based remote controller.
In this post, we demonstrate how to implement domain randomization with reinforcement learning (using the PPO algorithm) to balance a 2-wheel robot.
In this post, we demonstrate how to implement domain randomization with reinforcement learning (using the PPO algorithm) to balance a 2-wheel robot.
In this post, we'll show how to deploy a trained actor neural network from a PPO agent to an ESP32 robot using Arduino.
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