173: Leveraging Robotics in an Unstructured World with Dexterity's Michael Patrick Perry

Manufacturing Happy Hour · 20 Feb 2024 · 50m

AI in practice: 5 real uses of AI described

What this episode covers

Michael Patrick Perry, Dexterity’s VP of Marketing, discusses how the company has scaled from a small team to nearly 260 employees, moving from bread packing to full warehouse automation. He explains Dexterity’s software-first approach, which allows robots to handle complex, unstructured tasks like truck loading and palletizing by combining vision, force control, and planning. Perry highlights the democratization of robotics, enabling smaller companies to deploy flexible solutions quickly without massive capital expenditure, while also detailing how AI is used to create customized marketing experiences for enterprise clients.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

ManufacturingDexterity's AI platformpicking 1, 2, 3 loaves at a time

The AI combines vision, force control, and planning to enable robots to delicately pick up and stack bread loaves without crushing them, optimizing tray space through gentle nudging.

“our sense of touch is able to delicately pick up one, two, 3 loaves at a time, place them into a tray and not just drop them, but like gently nudge them so that the tray space is occupied.”

Michael Patrick Perry · Hear it at 12:28

ManufacturingDexterity's AI platform2000 picks per hour

The AI uses stacking and tree optimization logic to enable two robots to work together to grab messy flows of packages and place them onto a sworter belt at high speed.

“you have 2 robots that are working together to grab these messy flows of packages and get them onto a sworter belt at 2000 picks per hour. Um, you're using that same stacking and tree optimization logic, kind of the next version of that to build palettes.”

Michael Patrick Perry · Hear it at 12:28

ManufacturingDexterity's AI platformhuman parity in terms of speed

The AI enables a single robot system to perform three distinct tasks—depalletizing, label application, and palletizing—achieving speed comparable to human workers.

“we've now created one robot system that depalletizes, applies a label, and then repalletizes, and it does it at, basically, basically human parity in terms of speed.”

Michael Patrick Perry · Hear it at 20:14

ManufacturingDexterity's AI platform

The AI allows robots to determine the optimal placement for packages in a truck, distributing weight and creating stability (tea stacking) to prevent collapse during transit.

“knowing those requirements from the customer, we're able to train the AI to solve problems in this specific way. So it actually fits seamlessly within the customer's workflow.”

Michael Patrick Perry · Hear it at 9:03

Marketing & salesAI tools (LLMs)

The marketing team uses AI to generate first drafts of custom messaging, microsites, and emails, allowing them to switch to an editing mindset and scale personalized content creation.

“I think with, um, AI, you get a great, not even a great 1st draft. Like sometimes it's you just rewrite everything. But you start from a standpoint of, I'm switching to my editing brain. Yeah, than my creating brain.”

Michael Patrick Perry · Hear it at 35:28

Mentioned

Companies
Dexterity, Boston Dynamics, DJI, Tesla, FedEx, Sagawa, UPS, VF Corp, Dematic, DCS, JR Automation
Products
Optimus, Spot

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