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The roboticist who wants to bring AI into contact with the real world

Artificial intelligence may never reach its full potential without a body to interact with the physical world. Roboticist Josh Bongard says that the push for 鈥渆mbodied AI鈥 is suggesting a rethink of what it means to design intelligent robots

By Edd Gent

4 December 2023

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Klawe Rzeczy

WHO鈥橲 in charge, your brain or your聽body? The answer may seem聽obvious, but there is plenty of聽evidence to suggest that our physiology has聽dramatically affected the way we think. This idea of embodied cognition could hold聽important lessons for those trying to聽build genuinely intelligent machines聽鈥 artificial intelligences that learn and think and聽can generalise their knowledge to all聽manner of聽tasks, like humans.

, a roboticist at the University of Vermont, is among those who insist AIs will聽only fulfil their promise if they can directly experience and interact with the physical world. That is a far聽cry from AIs like ChatGPT, whose only interactions with the world come via the abstract medium of language. But the聽field of embodied AI is pushing for the convergence of聽artificial intelligence and robotics, and Bongard is聽at its forefront.

He reckons we need to rethink our approach to both disciplines. Simply integrating an AI chatbot with a robotic arm, as Google has done with its PaLM-E system (pictured below), may not be enough. Instead, Bongard focuses on 鈥evolutionary robotics鈥, which leverages the principles of natural selection to rapidly iterate through robot designs, many of them made of soft materials. He is also part of a team using living cells to form simple biological robots, known as xenobots, that not only perform basic tasks, but can interact with and respond聽to聽their environment too.

Here, Bongard tells New 女生小视频 how this work is suggesting entirely new ways to think about embodied cognition, and what counts as a robot, which could transform our approach to building intelligent machines.…

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