Since the democratization of machine learning (ML) in robotics, ML-powered workloads have become highly diverse. As generative AI (GenAI) technology continues to proliferate, foundation models are poised to replace or augment existing ML and deep learning models, creating more capable and robust robots. Consequently, Omdia estimates the robotics AI chipset market to reach US$866 million globally, aiding the rise of GenAI in robotics.
Since Google demonstrated RT-1, a transformer for robotics applications, in 2022, multiple players have demonstrated substantial efforts to democratize the adoption of GenAI in robots. Apart from Google, companies like Meta, OpenAI, and Toyota are trialing or testing a myriad of foundation models in their robotics applications. Service robot vendors from China, such as CloudMinds and OrionStar, have developed their own foundation models with plans to integrate them with client software systems.

Source prnewswire