Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Gemini Robotics 2 represents the intelligent framework developed by Google DeepMind for robots that can adapt and learn, featuring comprehensive body control, sophisticated dexterity, embodied reasoning, and the ability for multiple robots to collaborate effectively in the realm of physical AI. It encompasses three distinct models. The core of Gemini Robotics 2 is a vision-language-action model that transforms visual and linguistic inputs into precise motor actions, empowering humanoid and bi-arm robots to perform actions that range from walking to intricate fingertip movements. This system can seamlessly manage various activities such as walking, crouching, reaching, balancing, and manipulating objects, utilizing five-fingered hands or conventional grippers suited for delicate tasks. Additionally, the Gemini Robotics ER 2 functions as the central cognitive system, enabling interaction with humans, interpreting its environment, planning complex tasks that can unfold over several minutes, and coordinating with the VLA to track its progress, rectify mistakes, and facilitate collaboration among different robots. Ultimately, this innovation aims to enhance the capabilities of robots, making them more versatile and responsive to dynamic situations.
Description
PyBullet is a versatile Python library designed for simulating physics, robotics, and deep reinforcement learning, and it is rooted in the Bullet Physics SDK. This module enables users to load articulated bodies from various formats such as URDF and SDF, while also offering capabilities like forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. In addition to its robust simulation features, PyBullet includes rendering options, such as a CPU renderer and OpenGL visualization, along with support for virtual reality headsets. It finds applications in numerous research initiatives, including Assistive Gym, which utilizes PyBullet to facilitate physical human-robot interactions and advance assistive robotics for collaborative and physically supportive tasks. Additionally, the Kubric project serves as an open-source Python framework that collaborates with PyBullet and Blender to create photorealistic scenes complete with detailed annotations, demonstrating its ability to scale to extensive projects that can be distributed across thousands of machines. This combination of functionalities makes PyBullet an essential tool for researchers and developers working in the fields of robotics and simulation.
API Access
Has API
No
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Google DeepMind
Founded
2010
Country
United Kingdom
Website
deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/
Vendor Details
Company Name
PyBullet
Country
United States
Website
pybullet.org/wordpress/