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How robots learn: A brief, contemporary history

MIT Tech Review James O'Donnell April 17, 2026
How robots learn: A brief, contemporary history
AI Summary— plain English for professionals

# The Gap Between Robot Dreams and Reality For decades, roboticists have aimed to create human-like robots but ended up with much simpler machines—like factory arms and vacuum cleaners—because the challenge of matching human complexity turned out to be vastly harder than expected. The article traces how researchers have gradually shifted from trying to build general-purpose robots to focusing on machines that excel at specific, narrow tasks. This shift reflects a fundamental lesson: sometimes doing one thing really well matters more than trying to do everything.

Roboticists used to dream big but build small. They’d hope to match or exceed the extraordinary complexity of the human body, and then they’d spend their career refining robotic arms for auto plants. Aim for C-3P0; end up with the Roomba.  The real ambition for many of these researchers was the

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