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
WaveFarer is an advanced radar simulation tool that effectively models multipath effects and scattering caused by nearby structures and vehicles, as well as crucial atmospheric impacts for frequencies that can exceed 100 GHz. Its diverse applications range from simulating automotive driving conditions to enhancing indoor sensor functionalities and analyzing far-field radar cross sections (RCS). The capabilities of WaveFarer facilitate prompt and precise evaluations of scenarios where radars are situated in close quarters with various structures, targets, and environmental features. Tailored to meet the needs of radar system simulation, WaveFarer aids in assessing the optimal placement of automotive radar sensors and interpreting target returns in virtual driving environments. Additionally, it provides valuable insights for surveillance radar applications by examining the RCS of targets and how different materials can influence measurement outcomes, ensuring a comprehensive understanding of radar interactions in various contexts. With its robust features, WaveFarer stands out as a vital tool for radar analysis and simulation across multiple domains.
API Access
Has API
No
API Access
Has API
No
Integrations
Alibaba Cloud
Yes
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Microsoft Azure
Yes
NVIDIA DRIVE
No
NVIDIA Isaac GR00T
Yes
NVIDIA Isaac Sim
Yes
NVIDIA Omniverse
Yes
Red Hat Enterprise Linux
No
Integrations
Alibaba Cloud
No
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Microsoft Azure
No
NVIDIA DRIVE
Yes
NVIDIA Isaac GR00T
No
NVIDIA Isaac Sim
No
NVIDIA Omniverse
No
Red Hat Enterprise Linux
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/isaac/lab
Vendor Details
Company Name
Remcom
Founded
1994
Country
United States
Website
www.remcom.com/wavefarer-automotive-radar-software
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No