For decades, roboticists have dreamed of creating machines that can move through the world, adapt to different environments, and interact safely and helpfully with people. However, a long history of failure left many in Silicon Valley hesitant to invest in humanoid robots. That has changed, with companies and investors pouring $6.1 billion into the field in 2025 alone.
The key to this revolution is a shift in how machines learn to interact with the world. Rather than relying on pre-programmed rules, robots are now being trained using artificial intelligence (AI) models that ingest large amounts of data. This approach, which has been successful in areas such as natural language processing and game playing, is being adapted for robotics.
Imagine a pair of robot arms installed in a home to perform a simple task, such as folding clothes. In the past, programmers would have written rules to govern every aspect of the process, from identifying the type of fabric to determining the exact distance to fold the sleeves. However, this approach quickly becomes impractical, as the number of rules required to cover every possibility explodes.
Today, roboticists are using digital simulations to train robots. The robot is given a reward signal every time it successfully folds a shirt, and a penalty every time it fails. This process of trial and error, repeated millions of times, allows the robot to learn and improve its performance. The arrival of large language models, such as ChatGPT, has further accelerated this process, enabling robots to absorb and process vast amounts of data, including images, sensor readings, and joint positions.
This conceptual shift is having a profound impact on the field of robotics. Robots are now being deployed in real-world environments, where they can learn and adapt in real-time. This approach has been shown to be effective in a wide range of applications, from talking to people to performing complex tasks. As the technology continues to advance, we can expect to see robots playing an increasingly important role in our daily lives, from assisting those with mobility issues to performing tasks that are too dangerous for humans.
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