Apptronik launches Apollo 2 and flagship data collection and training hub

Apptronik provides a bipedal configuration for navigating spaces designed for people, while a wheeled base ensures stability and efficiency in high-throughput environments. | Source: Apptronik
Apptronik made two major announcements yesterday. First, it launched Apollo 2, an updated humanoid robot. Second, it opened its newly expanded Robot Park, a flagship data-collection and training facility for humanoid robots in Austin, Texas.
Apollo 2 is available in both bipedal and wheeled-base configurations. Apptronik stated that the robot was designed to learn real-world tasks through large-scale data collection. This allows the company to gather varied data across a wide range of tasks and environments.
As part of Apptronik's research partnership with Google DeepMind, the data collected by Apollo 2 helps advance Gemini Robotics, Google DeepMind's foundation models for robotics.
The Austin facility joins a growing network of Apptronik Robot Parks at customer and partner sites worldwide. The company stated that the facility, Apollo 2, and its research partnership create an integrated system for rapidly developing and deploying humanoid robot intelligence.
“The industry has spent years demonstrating what robots can do in demos. We're focused on what they can do every day on the job,” said Jeff Cardenas, co-founder and CEO of Apptronik. “What we're building is a continuous learning loop with the Google DeepMind Robotics team: robots working, collecting data, and improving with every cycle, in real environments, on real tasks.”
“Robot Park enables the data collection that fuels that, and Apollo 2 is the machine that makes it possible,” he added. “That's how you move from early prototypes to real, deployable humanoid robots.”
Apptronik stated that Apollo is built on nearly a decade of development across 15 previous robots, including NASA's Valkyrie. The company originated from the Human Centered Robotics Lab at the University of Texas at Austin and now employs nearly 300 people. Earlier this year, it raised $520 million in funding, bringing its total capital raised to nearly $1 billion.
Apptronik prioritizes modularity in Apollo 2
Apollo 2 is a modular AI-powered humanoid that has served as the workhorse behind Robot Park for over a year. The robot enables continuous learning through deployment across Robot Park locations and at customer and partner sites.
By offering Apollo in modular configurations, Apptronik said it can optimize data collection across a variety of operational environments. The company designed the wheeled base to comply with existing safety standards for industrial mobile robots. This allows it to integrate easily into existing customer operations, the company said.
The bipedal configuration offers maximum adaptability for complex environments. This allows Apptronik to continuously improve the safety and reliability of its walking platform in real-world scenarios.
“For truly useful humanoid robots, safety and reliability must advance alongside capability,” said Barry Phillips, chief commercial officer at Apptronik. “The modular design of Apollo is a direct response to customer demand for adaptable automation.”
“By developing Apollo as a modular platform, we're able to deploy the same core humanoid technology across different configurations, including wheeled robots that align with current industrial safety standards and bipedal robots for maximum adaptability,” he said. “This approach helps us build better robots for customers today while laying the groundwork for broad adoption of humanoid systems in the future.”
Apptronik stated that everything it is proving and learning through the Apollo 2 platform is directly fueling the development of its commercial product, Apollo 3.
Scalable data collection fuels humanoid intelligence

Apollo 2 includes an expressive LED mouth along with coordinated lighting, speech, and listening capabilities for more natural interactions with people. | Source: Apptronik
Apptronik stated that humanoid robots like Apollo require large amounts of real-world data to train the embodied AI models that will enable them to operate autonomously. Robot Park is where much of that data is generated.
Inside the newly expanded nearly 90,000-square-foot (8,361.2 sq. m) facility in Austin, both bipedal and wheeled Apollo 2 systems learn across a range of customer use cases. The robots perform tasks in logistics, manufacturing, retail, and other customer-driven activities.
To capture diverse real-world experience at scale, Apptronik said it deployed similar data-collection workflows across a growing network of Robot Parks. This includes its research partner, Google DeepMind, and customers such as Mercedes-Benz and GXO, a global leader in high-tech, high-volume logistics.
Through a combination of teleoperation and autonomous execution, Apollo 2 continuously generates significant amounts of high-quality training data, said Apptronik. It uses this growing dataset to train and refine the Gemini Robotics AI models. The company added that these models will prepare its commercial fleet for real-world deployment.
Robot Park provides the foundation of physical experience, Apptronik said. The company captures high-quality data through teleoperation and high-fidelity physics simulations. This allows it to accelerate both hardware design and algorithmic development.
Apptronik stated that its multi-modal approach allows its robots to learn from a wide variety of experiences. This further ensures the platform scales alongside the latest advancements in embodied AI.
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Apptronik provides a bipedal configuration for navigating spaces designed for people, while a wheeled base ensures stability and efficiency in high-throughput environments. | Source: Apptronik
Apptronik made two major announcements yesterday. First, it launched Apollo 2, an updated humanoid robot. Second, it opened its newly expanded Robot Park, a flagship data-collection and training facility for humanoid robots in Austin, Texas.
Apollo 2 is available in both bipedal and wheeled-base configurations. Apptronik stated that the robot was designed to learn real-world tasks through large-scale data collection. This allows the company to gather varied data across a wide range of tasks and environments.
As part of Apptronik's research partnership with Google DeepMind, the data collected by Apollo 2 helps advance Gemini Robotics, Google DeepMind's foundation models for robotics.
The Austin facility joins a growing network of Apptronik Robot Parks at customer and partner sites worldwide. The company stated that the facility, Apollo 2, and its research partnership create an integrated system for rapidly developing and deploying humanoid robot intelligence.
“The industry has spent years demonstrating what robots can do in demos. We're focused on what they can do every day on the job,” said Jeff Cardenas, co-founder and CEO of Apptronik. “What we're building is a continuous learning loop with the Google DeepMind Robotics team: robots working, collecting data, and improving with every cycle, in real environments, on real tasks.”
“Robot Park enables the data collection that fuels that, and Apollo 2 is the machine that makes it possible,” he added. “That's how you move from early prototypes to real, deployable humanoid robots.”
Apptronik stated that Apollo is built on nearly a decade of development across 15 previous robots, including NASA's Valkyrie. The company originated from the Human Centered Robotics Lab at the University of Texas at Austin and now employs nearly 300 people. Earlier this year, it raised $520 million in funding, bringing its total capital raised to nearly $1 billion.
Apptronik prioritizes modularity in Apollo 2
Apollo 2 is a modular AI-powered humanoid that has served as the workhorse behind Robot Park for over a year. The robot enables continuous learning through deployment across Robot Park locations and at customer and partner sites.
By offering Apollo in modular configurations, Apptronik said it can optimize data collection across a variety of operational environments. The company designed the wheeled base to comply with existing safety standards for industrial mobile robots. This allows it to integrate easily into existing customer operations, the company said.
The bipedal configuration offers maximum adaptability for complex environments. This allows Apptronik to continuously improve the safety and reliability of its walking platform in real-world scenarios.
“For truly useful humanoid robots, safety and reliability must advance alongside capability,” said Barry Phillips, chief commercial officer at Apptronik. “The modular design of Apollo is a direct response to customer demand for adaptable automation.”
“By developing Apollo as a modular platform, we're able to deploy the same core humanoid technology across different configurations, including wheeled robots that align with current industrial safety standards and bipedal robots for maximum adaptability,” he said. “This approach helps us build better robots for customers today while laying the groundwork for broad adoption of humanoid systems in the future.”
Apptronik stated that everything it is proving and learning through the Apollo 2 platform is directly fueling the development of its commercial product, Apollo 3.
Scalable data collection fuels humanoid intelligence

Apollo 2 includes an expressive LED mouth along with coordinated lighting, speech, and listening capabilities for more natural interactions with people. | Source: Apptronik
Apptronik stated that humanoid robots like Apollo require large amounts of real-world data to train the embodied AI models that will enable them to operate autonomously. Robot Park is where much of that data is generated.
Inside the newly expanded nearly 90,000-square-foot (8,361.2 sq. m) facility in Austin, both bipedal and wheeled Apollo 2 systems learn across a range of customer use cases. The robots perform tasks in logistics, manufacturing, retail, and other customer-driven activities.
To capture diverse real-world experience at scale, Apptronik said it deployed similar data-collection workflows across a growing network of Robot Parks. This includes its research partner, Google DeepMind, and customers such as Mercedes-Benz and GXO, a global leader in high-tech, high-volume logistics.
Through a combination of teleoperation and autonomous execution, Apollo 2 continuously generates significant amounts of high-quality training data, said Apptronik. It uses this growing dataset to train and refine the Gemini Robotics AI models. The company added that these models will prepare its commercial fleet for real-world deployment.
Robot Park provides the foundation of physical experience, Apptronik said. The company captures high-quality data through teleoperation and high-fidelity physics simulations. This allows it to accelerate both hardware design and algorithmic development.
Apptronik stated that its multi-modal approach allows its robots to learn from a wide variety of experiences. This further ensures the platform scales alongside the latest advancements in embodied AI.
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Boston Dynamics' Spot quadruped robot equipped with AIVI-Learning. | Source: Boston DynamicsBoston Dynamics has announced a partnership with Google Cloud and Google DeepMind to integrate Gemini and Gemini Robotics ER 1.6 into its Orbit AIVI-Learning





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