Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
NVIDIA Isaac Lab is an open-source robot learning framework that utilizes GPU acceleration and is built upon Isaac Sim, aimed at streamlining and integrating various robotics research processes such as reinforcement learning, imitation learning, and motion planning. By harnessing highly realistic sensor and physics simulations, it enables the effective training of embodied agents and offers a wide range of pre-configured environments that include manipulators, quadrupeds, and humanoids, while supporting over 30 benchmark tasks and seamless integration with well-known RL libraries, including RL Games, Stable Baselines, RSL RL, and SKRL. The design of Isaac Lab is modular and configuration-driven, which allows developers to effortlessly create, adjust, and expand their learning environments; it also provides the ability to gather demonstrations through peripherals like gamepads and keyboards, as well as facilitating the use of custom actuator models to improve sim-to-real transfer processes. Furthermore, the framework is designed to operate effectively in both local and cloud environments, ensuring that compute resources can be scaled flexibly to meet varying demands. This comprehensive approach not only enhances productivity in robotics research but also opens new avenues for innovation in robotic applications.
Description
Electromagnetic sensors are composed of two main components: a "front-end" that both generates and detects electromagnetic waves via a subsystem known as the Receiver/Exciter (REX), and a "back-end" responsible for signal and data processing, which is generally carried out through software. Each of these subsystems must be developed independently before they can be seamlessly integrated. The process of creating the complete sensor becomes increasingly complex and time-consuming due to unforeseen challenges that arise during integration testing. This complexity largely stems from the interdependencies between the subsystems that are not easily testable during their individual development phases. As a result, any necessary software updates, configuration adjustments, waveform modifications, and technology upgrades can incur significantly higher costs since they often require on-site verification with the actual front-end hardware. To mitigate these issues, the Virtual Receiver/Exciter (VREX) utilizes a simulated front-end, thus streamlining the testing and integration process. By employing a virtual model, developers can identify and address potential integration issues much earlier in the development cycle.
API Access
Has API
API Access
Has API
Integrations
Alibaba Cloud
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
NVIDIA Isaac GR00T
NVIDIA Isaac Sim
NVIDIA Omniverse
Integrations
Alibaba Cloud
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
NVIDIA Isaac GR00T
NVIDIA Isaac Sim
NVIDIA Omniverse
Pricing Details
Free
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
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/isaac/lab
Vendor Details
Company Name
FishEye
Website
fisheye.net/products/vrex/
Product 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
Product 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