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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
Yaskawa Motoman's MotoSim EG-VRC (Enhanced Graphics Virtual Robot Controller) is an advanced software designed for offline programming and three-dimensional simulation, aimed at the meticulous programming of intricate robotic systems. This application empowers users to create and visualize robotic work cells in a virtual environment, thereby eliminating the dependency on physical robots throughout the development stages. Notable features encompass optimizing the placement of robots and equipment, modeling reach capabilities, calculating cycle times with precision, generating paths automatically, detecting collisions, configuring systems, editing condition files, and setting up Functional Safety Units (FSU). The software includes a virtual robot controller that features a programming pendant interface mirroring that of the actual controller, facilitating a smooth shift from simulation to practical usage. Furthermore, MotoSim EG-VRC provides users with access to an expansive library of models, enabling the download of various third-party models to enrich their simulations. This versatility not only enhances the programming experience but also accelerates the overall development process by allowing for comprehensive testing before real-world implementation.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Yaskawa Motoman
Founded
1989
Country
United States
Website
www.motoman.com/en-us/products/software/simulation
Product Features
Product Features
Alternatives
No Alternatives