Episode 132: Collaborating with industrial robots - Anthony Jules

Robot Talk · 7 Nov 2025 · 30m · Episode 132

AI in practice: 2 real uses of AI described

What this episode covers

Anthony Jules, CEO and co-founder of Robust.AI, discusses the design and deployment of Carter, an AI-driven collaborative mobile robot for warehouses. Jules explains how Carter uses cameras instead of LIDAR to achieve semantic understanding, allowing it to navigate safely alongside humans and empower floor associates rather than replace them. He details the company's 'fleet learning' strategy, where data from individual robots is aggregated in the cloud to improve AI models offline, ensuring consistent productivity for clients like DHL without disrupting live operations.

AI in practice

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

Engineering & simulation

The AI system uses camera inputs to provide semantic understanding of the environment, allowing the robot to identify people, shelves, pallets, and forklifts for navigation.

“it only uses cameras, it doesn't use LIDAR. It has a semantic understanding of what's around it. So Carter knows when a person is nearby, it knows what a shelf looks like, it knows what a palette looks like.”

Speaker 2 · Hear it at 12:50

Engineering & simulation

AI algorithms process control signals to manipulate the robot's motors, creating a 'force feedback' effect that makes a heavy physical object feel weightless when a human pulls its handle.

“And when you grab onto that handle, we do some magic in the controls and AI to make all of the mass disappear so you can now move this, this thing that's 100 to 300 kilos in total mass.”

Speaker 2 · Hear it at 12:50

Mentioned

Companies
Robust.AI, Sapient Corporation, Activision, Google Robotics, IRobot, DHL
Products
Carter, Roomba
Tools
LIDAR

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