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cover of episode Can Robots Fix Recycling?

Can Robots Fix Recycling?

2025/6/19
logo of podcast What's Your Problem?

What's Your Problem?
AI Deep Dive Transcript
People
J
Jacob Goldstein
R
Rebecca Hu-Trams
Topics
Jacob Goldstein: 回收行业面临着原材料质量不稳定、种类繁多等挑战，这使得回收过程如同运营一家疯狂的工厂。为了解决这些问题，我们可以利用人工智能和机器人技术来提高回收效率和质量，使回收业务更加高效。 Rebecca Hu-Trams: 我认为，利用人工智能和机器人技术改进回收流程，不仅可以提高回收效率，还可以通过数据分析帮助企业更好地了解其包装的最终去向，从而促进循环经济的发展。我最初对垃圾的去向感到好奇，并意识到回收行业存在许多问题。中国停止进口低质量回收材料后，我们开始关注如何提高回收材料的质量和纯度。我们发现，计算机视觉和机器人技术的进步为我们提供了解决这些问题的机会。我们的机器人可以识别和分拣各种回收材料，并收集数据以帮助回收设施优化运营。通过与亚马逊和高露洁等公司合作，我们可以追踪其包装的回收情况，并促进扩展生产者责任 (EPR) 法律的实施，从而推动循环经济的发展。

Deep Dive

Shownotes Transcript

Recycling plants take in a huge amount of random (and occasionally hazardous) stuff, which they then have to turn into reliable outputs that their customers will buy. That’s why Rebecca Hu Thrams calls recycling “the most demented form of manufacturing on the planet.” Rebecca is the co-founder of Glacier, and her problem is this: Can you use AI and robots to make recycling a somewhat less demented business?

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