In this insightful discussion, Ken Goldberg, a renowned robotics professor at UC Berkeley and co-founder of innovative startups, shares his expertise on the future of robots in our lives. He outlines why training robots is more challenging than training language models and explores engineering hurdles that must be overcome for practical applications. Ken highlights sectors like homecare, agriculture, and medicine where robots could thrive. He reassures listeners about the continuing importance of human roles in workplaces amid automation's rise.
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Tech Leaders' Optimism
Elon Musk and Jensen Huang, prominent figures in tech, have publicly expressed optimism about the future of robotics.
This optimism, coupled with science fiction portrayals, contributes to inflated expectations.
insights INSIGHT
Language Models vs. Robots
Language models excel at interpolation within their training data.
Robotics involves higher-dimensional problems, requiring significantly more data for similar generalization.
insights INSIGHT
Moravec's Paradox
Moravec's paradox observes that tasks easy for humans are hard for robots, and vice-versa.
This is not necessarily due to evolutionary reasons, but the inherent complexity of seemingly simple tasks.
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"Perception is quite difficult with cameras: even if you have a stereo camera, you still can’t really build a map of where everything is in space. It’s just very difficult. And I know that sounds surprising, because humans are very good at this. In fact, even with one eye, we can navigate and we can clear the dinner table. But it seems that we’re building in a lot of understanding and intuition about what’s happening in the world and where objects are and how they behave. For robots, it’s very difficult to get a perfectly accurate model of the world and where things are. So if you’re going to go manipulate or grasp an object, a small error in that position will maybe have your robot crash into the object, a delicate wine glass, and probably break it. So the perception and the control are both problems." —Ken Goldberg
In today’s episode, host Luisa Rodriguez speaks to Ken Goldberg — robotics professor at UC Berkeley — about the major research challenges still ahead before robots become broadly integrated into our homes and societies.
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