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What are the essential steps and technologies required to design and build a functional AI-powered robot from scratch?

AI robots can be designed for various purposes, such as improving productivity, reducing costs, and automating dangerous or repetitive tasks.

The process involves identifying the problem, collecting data, creating algorithms, training the AI model, and deploying and monitoring the operation of the AI system.

A crucial step in building an AI robot is assembling the hardware, including connecting sensors and actuators, establishing a power supply, and testing the robot.

The assembly process involves assembling the chassis, mounting the electronics, and connecting sensors and actuators.

Selecting a machine learning algorithm and providing a dataset of labeled examples are essential for training the AI robot.

The AI model's accuracy can be improved by optimizing the algorithm and collecting additional data during the training process.

The two most popular options for the robot's electronic brain are the Raspberry Pi and Arduino.

Four wheels, a microcontroller, and a battery are required to create a custom-built robot.

Robots can be trained using domain randomization, a technique that involves showing simulated objects with a variety of color backgrounds and textures.

OpenAI has developed a new algorithm called oneshot imitation learning, which allows robots to learn from just a few examples.

Robots can be programmed using the Robot Operating System (ROS) with Python and Gazebo, a robot simulator.

Recent advances in AI are leading to the emergence of a new class of robot that will become essential in our households and workplaces.

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