Researchers create cleaning robot that learns with GPT-4o

Robotic arms can clean up spills, using the 100 applied demonstrations, using the GTP-40, achieving impressive efficiency.
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Crean robot limpiador que aprende con GPT-4o

A team of researchers from UC Berkeley and ETH Zurich has managed, on a budget of just $240, to develop a duo of robotic arms with spill-cleaning capabilities, through training powered by OpenAI’s GPT-4o.

They created the “cleaning robot” in just 4 days

The project is led by Jannik Grothusen and Kaspar Janssen, in the creation of a visual language model that improves human-robot interaction ( HRI ). This development was applied to robotic arms, designed by The Robot Studio , which were trained with approximately 100 demonstrations, allowing robots to perform tasks with greater precision by simulating human movements.

The secret behind the success of the SO-100, a 3D printed robotic arm , is the sophisticated multimodal agent coordinated by LangChain AI . This technology enables robots to efficiently interpret and respond to their environment in an active manner, facilitating more intuitive interaction.

The SO-100 is available for less than $100 in mass production, and its design allows for easy assembly. It was made from carbon fiber printed parts for durability, using six servos connected in a chain, via an adapter board. The prototype is optimized to allow for modifications and upgrades, offering a do-it-yourself approach for robotics enthusiasts.

The assembly process is simple yet meticulous . Each servo is programmed with a unique ID number, ensuring coordinated operation. With precise adjustments and magnetic tools, the robot can be assembled in about 30 minutes, ready to perform tasks with fluid, precise movements.

The use of GPT-40 and reinforcement learning technologies enables these robots to be adaptable and effective. Motion policies, perfected with ACT ( Actor-Critic Training ), enable robots to continuously learn and improve.

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Source and photo: X via @JannikGrothusen

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