Galbot banks on Sim2Real for expansion

Simulation-to-reality methodology a breakthrough by firm in cutting costs

As humanoid robots transition from product development to real-world commercialization and deployment, Beijing Galbot Co Ltd is working to crack the code to achieve scalable automation through a radical synthetic data approach.

In a recent exclusive interview with China Daily, Zhang Zhizheng, co-founder of Galbot, detailed how the company's simulation-to-reality, or Sim2Real, methodology is overcoming a critical industry barrier — the prohibitively high cost of real-world data collection.

The heart of Galbot's breakthrough lies in its pioneering technical paradigm — massive pre-training on a large scale and high-quality synthetic datasets followed by surgical fine-tuning with minimal real-world data. This innovative framework has drastically reduced reliance on real-world data collection.