Apptronik announced the opening of an expanded Robot Park in Austin, Texas, and introduced Apollo 2, the current version of its humanoid robot platform. The announcement brings together three elements: a physical training facility, a modular humanoid robot, and a research partnership with Google DeepMind. Robot Park is described as the center of a broader network of data collection sites at customer and partner locations. Apollo 2 is being used in bipedal and wheeled-base configurations to collect operational data across tasks and environments that Apptronik says will support Gemini Robotics models and the development of future humanoid systems.

The significance of Robot Park is that Apptronik is treating data collection as a core part of humanoid robot commercialization. The nearly 90,000-square-foot Austin facility is designed to generate real-world physical experience from Apollo 2 robots working through customer use cases. The reported task areas include logistics, manufacturing, retail, and other customer-driven activities. Similar workflows have also been deployed across a network that includes Google DeepMind and customer sites such as Mercedes-Benz and GXO.

This approach positions Robot Park as data infrastructure rather than only a demonstration space. Humanoid robots require large volumes of real-world data to train embodied AI models that can operate autonomously. By running Apollo 2 robots across multiple configurations, sites, and task types, Apptronik is attempting to build a repeatable data pipeline from physical robot activity.

Data strategy is central to the announcement. Apptronik identifies three main sources of development data: teleoperation, autonomous execution, and physics simulation. Teleoperation and autonomous operation provide data from real robot interactions, while simulation is used to support hardware design and algorithmic development. Taken together, these methods create a hybrid approach that combines physical experience with simulated development work.

The partnership with Google DeepMind gives the data collection strategy a model development pathway. Apptronik says data collected by Apollo 2 contributes to Gemini Robotics, described in the release as Google DeepMind's foundational AI models for robotics. This creates a link between physical robot operations and embodied AI model development. In this model, Robot Park and customer sites provide the physical data environment, while Gemini Robotics provides the AI model context for training and refinement.

Apptronik's announcement emphasizes data from robots performing real tasks across logistics, manufacturing, retail, and related customer use cases. These are environments where robots must combine mobility, manipulation, perception, and safe operation. Within the scope of the announcement, the key issue is not only whether the robot can perform individual tasks, but also whether Apptronik can turn repeated task experience into model improvements and deployable system capability.

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Apptronik Opens Robot Park for Humanoid Robot Training