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  1. Machine Learning Crawler Robot Using Reinforcement Learning, Neural

    This simple crawling robot uses and Arduino Uno and two micro-servos to learn how to move. In the first video I use a reinforcement learning algorithm to randomly choose arm two arm positions.

  2. Training an Arduino UNO R4 powered robot using machine learning

    Sep 15, 2023 · Algorithms such as decision trees, neural networks, or reinforcement learning can be used to build the model. The trained model is then deployed into the robot, which starts interacting with...

  3. Reinforcement learning with Arduino using Q-learning - LinkedIn

    Jul 17, 2019 · This document describes a basic exercise of reinforcement learning using an Arduino. The project aim is to simulate a house with eight rooms, and we want to know the shortest path from one...

  4. How to use reinforcement learning on an inverted pendulum

    Dec 18, 2023 · We use an Arduino to act as an interface between the environment and the agent during the learning process. A powerful CPU or GPU is used to train the agent in real-time. The observation consists of four values: encoder angle (θ), encoder angular velocity (dθ/dt), stepper motor angle (φ), and stepper motor angular velocity (dφ/dt).

  5. Reinforcement Learning with Arduino Slave Agent | Glen Barcelo ...

    Project/Design Lead: I proposed and designed a master/slave system to learn how to walk without any movements being explicitly programmed. The master was a neural network on a PC written using TensorFlow’s machine learning library. The slave was a quadrupedal robot controlled by an Arduino microcontroller board.

  6. Implementing Reinforcement Learning For Obstacle Avoidance In Arduino

    Sep 16, 2024 · This is where reinforcement learning (RL) comes into play. By using RL, we can teach our Arduino robots to make decisions based on their environment, allowing them to avoid obstacles effectively.

  7. Reinforcement learning on an Arduino to control an arm

    Reinforcement learning is a powerful and flexible approach to learning from interaction. Embedded reinforcement learning agents could be a key component to creating engaging, interactive experiences with everyday objects.

  8. Arduino Crawler bot - Reinforcement Learning

    Sep 5, 2020 · It is a simple 2 servo crawler robot that uses Q-learning to learn how to move. The back wheels are connected to en encoder checking if the robot moves. Its a re-implementation of an another crawler bot project where the discrete servo states corresponds to set angles. In the new version each servo follow its own sine wave.

  9. Q-Learning Algorithm and Basic Implementation on Arduino

    Feb 26, 2017 · Q-Learning is one of the basic reinforcement learning algorithm. I am going to explain this algorithm by an example. Now, imagine that you have robot and a house with six rooms. Task of the robot is the bring you whatever you want from kitchen to your study room. You want robot to learn the shortest way between these two rooms.

  10. Reinforcement Learning for a Self-Balancing Motorcycle | Arduino ...

    Aug 2, 2018 · I decided to use one of the robots from the Arduino Engineering Kit: a self-balancing motorcycle. In the motorcycle, an inertia wheel is used to balance the system instead of controlling the cart that pivots the pendulum.

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