AI in Robotics - New Position Paper

A new generation of AI-powered robots moving from research labs into the real world is fueled by AI tech companies and analysts forecasting a multitrillion-dollar market. The vision is to give artificial intelligence its own robot body. What are the trends, challenges, and commercial applications?

“AI is transforming the field of robotics at a rapid pace," says Takayuki Ito, President of the International Federation of Robotics. “Integrating AI into robotics enhances capabilities, increases efficiency and improves adaptability. This development is transforming AI from a supporting technology into a powerful enabler, opening the door to wider robot adoption across industries.”

Industries at the forefront

There are currently several key sectors leading the way in integrating AI and robotics:

Logistics and warehousing are frequently cited as the leading domain. This is driven by high demand, available investment and relatively controlled environments. Fields of adoption include logistics, warehousing and intralogistics and the broader supply chain. The sector attracts attention for its resilience and growth potential.

The manufacturing and industrial automation sector is a focal point for investment: As companies seek to streamline operations and enhance output quality, AI and robotics are playing an increasingly central role in modern manufacturing strategies. The sector is spanning a broad array of industries. This includes automotive, electronics, and the general industries like pharma. The category encompasses high-skill production processes, factory automation systems and precision assembly tasks.

The service sector is among the leading customers adopting AI and robotics. AI is supporting human-robot interaction, allowing for example a natural communication and increasing the usability and personalization of the robots. This trend is driven by rising costs and a shortage of workers, particularly in post-pandemic markets, where recruitment has lagged demand. Restaurants, for example, are experimenting with robotic servers and kitchen assistants. The future lies in hybrid models where robots handle repetitive tasks and humans deliver the personal touch.

New vision for AI in robotics

Robot and chip manufacturers recently are investing in dedicated hardware and software that simulate real-world environments. This so-called Physical AI allows robots to train themselves in virtual environments and operate by experience, rather than programming. The excitement about embodied AI has drawn attention from major tech players and governments around the world.

Over the next five to ten years, AI is expected to be widely adopted in various robotics applications. Because AI increases efficiency, reduces errors and maintenance costs, companies often see a quicker return on investment (ROI) compared to non-AI systems.

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(Source: International Federation of Robotics)