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NVIDIA Isaac PerceptorNVIDIA

NVIDIA Isaac™ Perceptor, built on Isaac ROS, is a collection of NVIDIA® CUDA®-accelerated libraries, AI models, and reference workflows for the development of autonomous mobile robots (AMRs). These robots are designed to perceive, localize, and operate in unstructured environments like warehouses, factories, and outdoor settings.

Vendor

Vendor

NVIDIA

Company Website

Company Website

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Product details

NVIDIA Isaac™ Perceptor, built on Isaac ROS, is a collection of NVIDIA® CUDA®-accelerated libraries, AI models, and reference workflows for the development of autonomous mobile robots (AMRs). These robots are designed to perceive, localize, and operate in unstructured environments like warehouses, factories, and outdoor settings. You can integrate one or all of Isaac Perceptor’s technologies into your own AMR software stack to achieve advanced AI for perception capabilities or evaluate it with the NVIDIA Nova Orin™ Developer Kit.

Features

  • Fully Optimized for Mobile Robots: Drive innovation in autonomous forklifts and industrial mobile robots with advanced visual odometry and 3D surround vision technology for obstacle detection and spatial awareness.
  • Scalable Sensor Architecture: Tap into the industry’s first scalable architecture for one to eight cameras with time synchronization across all the cameras and Inertial Measurement Units (IMUs).
  • Ready for Deployment: Take advantage of pre-integrated, extensively tested subgraphs for mobile robots to ensure seamless integration with existing software stacks and robots.
  • Open Ecosystem Built on ROS: Built on the open-source ROS 2 (Robot Operating System) software framework, allowing the ROS community to easily take advantage of NVIDIA-accelerated libraries and AI models to accelerate their AI robot development and deployment workflows.
  • Real-Time 3D Occupancy Grid: Get results 100X faster than with CPU-centric methods using nvblox. This NVIDIA® CUDA®-accelerated 3D reconstruction library can identify obstacles up to 5 meters away to provide a 2D costmap.
  • Accelerated Stereo Visual Odometry and SLAM: Seamlessly navigate environments with sparse visual features or repetitive patterns by fusing input from multiple viewpoints using NVIDIA cuVSLAM.
  • AI-Based Depth Perception: Take advantage of stereo DNN for dense, detailed, robust complexity. The stereo disparity is calculated from a time-synchronized image pair sourced from a stereo camera and used to produce a depth image or point cloud for a scene.

Benefits

  • Enhanced Perception Capabilities: Provides advanced 3D perception capabilities that ensure optimal performance and modularity for specific needs.
  • Improved Efficiency: Achieve faster task cycles and increased customer satisfaction through integration with advanced AI-based perception.
  • Scalable and Flexible: Easily integrate with existing platforms and solutions, providing scalable and flexible AI robot development and deployment workflows.
  • Comprehensive Support: Access a wide range of tutorials, documentation, and community support to accelerate development and deployment.