Audi tests mobile humanoids for factory parts sequencing

Posted under: Emerging technologies
Date: 2026-10-29
Audi tests mobile humanoids for factory parts sequencing | Justo Global

Audi is testing mobile humanoid robots from Agile Robots to automate parts sequencing at its Ingolstadt Production Lab in Germany. The proof of concept focuses on picking components from containers and arranging them in the correct order for vehicle assembly. The project, announced on 21 October at NVIDIA GTC Berlin, involves Agile Robots, Dassault Systèmes, and NVIDIA. Audi’s material-supply operations involve around one million picks each day. Conventional robots struggle with varying shapes, packaging, and positions, especially semi-rigid parts. The Agile One humanoids combine human-height reach, dual-arm manipulation, and a wheeled base so they can work in existing factory layouts. Engineers are building a virtual twin of the logistics environment with Dassault’s DELMIA platform and NVIDIA Omniverse to assess feasibility, cycle times, ergonomics, and safety before physical trials. The initiative remains a laboratory proof of concept.

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Audi tests mobile humanoids for factory parts sequencing

Posted under: Emerging technologies
Date: 2026-10-29
Audi tests mobile humanoids for factory parts sequencing | Justo Global

Audi is testing mobile humanoid robots from Agile Robots to automate parts sequencing at its Ingolstadt Production Lab in Germany. The proof of concept focuses on picking components from containers and arranging them in the correct order for vehicle assembly. The project, announced on 21 October at NVIDIA GTC Berlin, involves Agile Robots, Dassault Systèmes, and NVIDIA. Audi’s material-supply operations involve around one million picks each day. Conventional robots struggle with varying shapes, packaging, and positions, especially semi-rigid parts. The Agile One humanoids combine human-height reach, dual-arm manipulation, and a wheeled base so they can work in existing factory layouts. Engineers are building a virtual twin of the logistics environment with Dassault’s DELMIA platform and NVIDIA Omniverse to assess feasibility, cycle times, ergonomics, and safety before physical trials. The initiative remains a laboratory proof of concept.

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