
Mint Explainer: Can AI robots fix manufacturing’s toughest automation problems?
Subscribe to enjoy similar stories. On 12 February, deeptech robotics company Cyn:Lr launched its Object Intelligence platform, which allows its robots to pick up, manipulate and work with objects without previously being trained on data. The startup said its robotic arms are already being used in places and tasks where traditional automation has proved difficult, requiring manual labour.
How significant is this technology? Can artificial-intelligence-powered robots really fix some of the most critical pain points in manufacturing and upend the industry? What are some of the challenges to including AI robots in manufacturing? Let’s take a look. The overall robotics market is projected to grow rapidly from $73 billion in 2025 to $88 billion in 2026 and $218 billion by 2030, at a compound annual growth rate of 19.86%, according to data from Mordor Intelligence. Meanwhile, industrial robots installations have been climbing steadily over the last decade.
New installations grew from 221,000 units in 2014 to 542,000 in 2024, having come in above 500,000 since 2021, according to the International Federation of Robotics. However, not all these robots are AI-enabled. AI technology in robotics, though nascent, is increasingly being used for tasks such as predictive maintenance, visual inspection through computer vision, and real-time optimisation of production lines.
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