Nexdata Launches Advanced Embodied AI Data Collection Facility for Future Robotics

In a groundbreaking development within the artificial intelligence industry, Nexdata has announced the official opening of its Embodied AI Data Collection Factory. This facility aims at resolving a significant challenge faced by the evolving landscape of intelligent robotics—namely, the lack of accessible, high-quality data from real-world interactions. As technology advances and the demand for embodied AI systems increases, Nexdata adheres to its commitment to provide those engaged in the robotics space with an essential resource: authentic interaction data.

Bridging the Gap from Lab to Market

Traditionally, the progression of humanoid robots and AI-based agents tends to stall when moving from controlled laboratory conditions to unpredictable real-world applications. However, with this new facility, Nexdata is transitioning from mere data services to becoming a vital infrastructure enabler in the embodiment AI ecosystem. This shift empowers their capabilities to create standardized, mass-produced interaction data essential for training and deploying various AI models worldwide.

Spanning over 4,000 square meters, the data factory has been designed with highly realistic and configurable environments. These include spaces resembling supermarkets, pharmacies, and factories, as well as settings for automotive repair workshops and numerous other complex scenarios. It doesn’t stop there; by covering a diverse range of industrial domains such as healthcare, retail, and smart cities, the factory ensures that it addresses the demands of multiple sectors.

Multi-Modal Data Acquisition for Enhanced Learning

The facility is powered by a sophisticated multi-modal data acquisition system that captures critical data elements like vision, motion, speech, force, and tactile feedback through heterogeneous sensor signals. This holistic approach guarantees the ongoing collection of detailed interaction data, wherein robots engage with humans and their environments dynamically. The result is a reliable foundation for extending the training of large-scale embodied AI models.

Impressively, the factory can handle over 100 different humanoid robot models, alongside 50 robotic hands of various make and design, such as Unitree, Franka, and Linker L20, catering to the widest operational range imaginable. This versatility allows Nexdata to execute a myriad of tasks, ranging from autonomous navigation to complex dexterous manipulations, enhancing data diversity and relevance.

Pioneering Quality Control in Embodied AI Data

With the data industry in a frail position regarding the provision of high-quality real-world interaction datasets, Nexdata positions itself as a pioneer. After years of significant investment, it has developed an embodiment AI data factory that stands out due to its overwhelming coverage of diverse environments and robot types.

The operational framework is particularly noteworthy as it employs a closed-loop pipeline that not only collects data but also annotates, performs quality control, and fine-tunes data iteratively. This meticulous process boasts an impressive annotation accuracy rate of over 98%, achieved through a strict multi-stage validation setup. It directly addresses the long-standing industry challenge—known as the