General-purpose robotic automation for real-world business workflows
Build and deploy a robotics system that lets different robot platforms perform useful, multi-step physical workflows autonomously, such as food preparation, kitchen cleaning, laundry folding, box construction, labeling, stacking, assembly, and warehouse packaging.
physical B2B Deep Tech / Infrastructure
From Y Combinator — Chelsea Finn: This is the State of the Art in Robotics at 00:17
Problem: Robots that work only for short demonstrations or narrowly defined tasks are not useful enough for production. Businesses need robots that can perform complex workflows reliably, across environments and sometimes across different robot platforms, without frequent human babysitting.
For: Businesses with repetitive physical workflows that are currently performed by people, including food factories, warehouses, and companies operating specialized equipment such as tractors or surgical robots.
Examples
- Dandelion Chocolate Factory: a robot learned the company's workflow of constructing, labeling, and stacking cardboard boxes, with reinforcement learning producing a more reliable policy and approximately 2x throughput from the reinforcement-learning stage.
Behind this: 13 build steps · 8 tools and how each is used · how to validate demand · 7 more real examples · 9 things the video never answers.
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