Gemini Robotics 2Google DeepMind
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About
Gemini Robotics 2 is Google DeepMind’s intelligence layer for adaptable robots, bringing whole-body control, advanced dexterity, embodied reasoning, and multi-robot collaboration to physical AI. It includes three models. Gemini Robotics 2 is a vision-language-action model that converts visual and language input into motor control, enabling humanoids and bi-arm robots to act from feet to fingertips. It can coordinate walking, crouching, reaching, balancing, and object manipulation, while controlling five-fingered hands or standard grippers for delicate and precise tasks. Gemini Robotics ER 2 serves as the high-level brain, communicating with people, understanding its surroundings, planning multi-step tasks that last several minutes, coordinating actions with the VLA, tracking progress, self-correcting failures, and allowing different robots to work together.
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About
PyBullet is a Python module for physics simulation, robotics, and deep reinforcement learning, built on the Bullet Physics SDK. It supports loading articulated bodies from URDF, SDF, and other formats, providing forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. PyBullet offers rendering capabilities, including a CPU renderer and OpenGL visualization, with support for virtual reality headsets. It is utilized in various research projects, such as Assistive Gym, which leverages PyBullet for physical human-robot interaction and assistive robotics, supporting collaborative robots and physically assistive tasks. Another project, Kubric, is an open source Python framework interfacing with PyBullet and Blender to generate photo-realistic scenes with rich annotations, scaling to large jobs distributed over thousands of machines.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPhone
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iPad
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Android
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Chromebook
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Industrial robotics developers building adaptable humanoid and multi-robot systems for complex physical environments
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Audience
Robotics researchers and developers in need of a tool for developing and testing control algorithms, reinforcement learning models, and robotic behaviors
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Support
Phone Support
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24/7 Live Support
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Online
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Support
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API
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Training
Documentation
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Live Online
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Training
Documentation
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Webinars
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Live Online
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In Person
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Company InformationGoogle DeepMind
Founded: 2010
United Kingdom
deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/
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Company InformationPyBullet
United States
pybullet.org/wordpress/
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