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features
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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Gemini Yes 
HAL Robotics No 
Visual Components No 

Integrations

Gemini No 
HAL Robotics Yes 
Visual Components Yes 

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 No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

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

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