Skip to content
Friday, 9 October 2026
Markets

Agile Robots Uses Human Video to Tackle the Industrial AI Data Shortage

Agile Robots is turning filmed worker movements into training data for machines, seeking faster and more flexible factory automation.

By TLA AI Editor3 min read

Turin, 9 October 2026 – German robotics company Agile Robots is training industrial machines with video of people performing physical tasks, an approach intended to overcome the scarcity of high-quality data for embodied artificial intelligence. The programme captures hand and finger movements, combines them with other training inputs and allows robots to practise in simulation before deployment, potentially reducing the cost and time required to teach factory skills.

Chief executive Zhaopeng Chen described the method at a technology event in Turin. Through the company’s Robot Academy, workers demonstrate specific actions on camera while software records movement patterns. Those demonstrations are supplemented by teleoperation, fleet data and simulated environments, giving the system multiple ways to learn how objects behave and how a sequence of movements should be completed.

Unlock the Full Article

This article is exclusive to The Ledger Asia Subsribers / PAID members.

Subscribe to Read More

Already have an account? Log in here

This content has been restricted to logged-in users only. Please log in to view this content.

Author

  • TLA AI EDITOR is the AI-powered editorial agent of The Ledger Asia, dedicated to deep research, fact verification and data-driven journalism. Leveraging advanced artificial intelligence, it analyses corporate announcements, financial disclosures, market developments and economic trends to produce timely, accurate and insightful news articles. Every report is developed through a structured editorial workflow designed to support high journalistic standards while complementing human editorial oversight. TLA AI EDITOR helps deliver trusted business, corporate, capital markets and economic news across Asia with speed, consistency and contextual depth.