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What is Virtual REX?

Electromagnetic sensors consist of two primary elements: a "front-end" that produces and detects electromagnetic waves through a subsystem called the Receiver/Exciter (REX), and a "back-end" tasked with processing both signal and data, typically managed by software. Each subsystem must be developed separately before they can be integrated effectively. The creation of a fully functional sensor grows more intricate and time-consuming due to unexpected obstacles encountered during integration testing. This intricacy primarily arises from the dependencies between subsystems that are challenging to test when developed individually. Consequently, any required software updates, configuration changes, adjustments to waveforms, or upgrades to technology may lead to significantly increased costs, as they usually necessitate on-site verification with the actual hardware of the front-end. To alleviate these challenges, the Virtual Receiver/Exciter (VREX) employs a simulated front-end, which enhances the efficiency of the testing and integration process. By utilizing a virtual model, developers can proactively identify and rectify potential integration challenges much earlier in the development timeline, ultimately leading to a more streamlined workflow and reduced costs in the long run. This proactive approach not only saves time but also enhances the overall quality of the final product.

What is NVIDIA Isaac Lab?

NVIDIA Isaac Lab serves as an open-source framework for robotic learning, leveraging GPU acceleration and grounded in Isaac Sim to enhance and unify multiple aspects of robotics research, including reinforcement learning, imitation learning, and motion planning. It takes advantage of highly accurate sensor and physics simulations to effectively train embodied agents and provides a diverse array of pre-configured environments featuring manipulators, quadrupeds, and humanoids, while also supporting over 30 benchmark tasks and facilitating smooth integration with prominent RL libraries such as RL Games, Stable Baselines, RSL RL, and SKRL. The modular, configuration-driven design of Isaac Lab empowers developers to easily create, modify, and expand their learning environments, alongside the capability to capture demonstrations using devices like gamepads and keyboards, as well as allowing for the incorporation of custom actuator models to enhance the sim-to-real transfer processes. Additionally, the framework is adept at functioning in both local and cloud settings, providing the flexibility to scale compute resources to meet varying demands efficiently. This multifaceted approach not only boosts productivity in robotics research but also paves the way for groundbreaking innovations in a variety of robotic applications, ultimately fostering a dynamic environment for experimentation and advancement.

Media

Media

Integrations Supported

Alibaba Cloud
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
NVIDIA Isaac GR00T
NVIDIA Isaac Sim
NVIDIA Omniverse

Integrations Supported

Alibaba Cloud
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
NVIDIA Isaac GR00T
NVIDIA Isaac Sim
NVIDIA Omniverse

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

FishEye

Company Website

fisheye.net/products/vrex/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/isaac/lab

Categories and Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Categories and Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

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