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features
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support

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Description

Gemini Robotics-ER 1.6 represents a suite of AI models created by Google DeepMind, designed to infuse sophisticated multimodal intelligence into the tangible world by empowering robots to sense, analyze, and act within real-world settings. Based on the Gemini 2.0 architecture, it enhances conventional AI abilities by incorporating physical actions as a form of output, thus enabling robots to not only understand visual data but also to follow natural language commands, translating these inputs directly into motor functions for task execution. This system features a vision-language-action model that interprets both images and directives to carry out tasks effectively, alongside an additional embodied reasoning model (Gemini Robotics-ER) that focuses on spatial awareness, strategic planning, and decision-making in physical contexts. Through these capabilities, the models allow robots to adapt to unfamiliar scenarios, objects, and environments, thereby enabling them to tackle intricate, multi-step tasks even when they have not undergone specific training for such challenges. Ultimately, this innovation represents a significant leap towards creating robots that can seamlessly integrate and operate within the complexities of everyday life.

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 
Gemini Robotics Yes 
Google AI Studio Yes 
HAL Robotics No 
Visual Components No 

Integrations

Gemini No 
Gemini Robotics No 
Google AI Studio No 
HAL Robotics Yes 
Visual Components Yes 

Pricing Details

No price information available.
Free Trial Yes 
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) Yes 
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/models/gemini-robotics/

Vendor Details

Company Name

Yaskawa Motoman

Founded

1989

Country

United States

Website

www.motoman.com/en-us/products/software/simulation

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