Repositories and Packages

Use this index to find the Isaac ROS packages you need and examples on how to use them.

Repository

Package(s)

Description

AprilTag

CUDA-accelerated AprilTag detection and pose estimation.

Argus Camera

ROS 2 packages based on NVIDIA libArgus library for NVIDIA-accelerated CSI camera support.

Benchmark

ROS 2 package which adds on top of ros2_benchmark package plugins, configuration files, and scripts to perform benchmarking on graphs of nodes using Isaac ROS.

Common

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Common utilities, packages, scripts, Dockerfiles, and testing infrastructure for Isaac ROS packages.

Compression

NVIDIA-accelerated data compression

cuMotion

CUDA-accelerated motion generation for robot arms

Depth Segmentation

DNN-based depth segmentation and obstacle field ranging using Bi3D

DNN Inference

NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU

DNN Stereo Depth

Deep learned stereo disparity estimation

Freespace Segmentation

DNN-based freespace segmentation for navigation

Jetson

Utility tools for NVIDIA Jetson

Image Pipeline

NVIDIA-accelerated ROS 2 packages for camera image processing.

Image Segmentation

NVIDIA-accelerated, deep learned semantic image segmentation

Manipulator

Use Isaac Manipulator for accelerated manipulator motion planning with camera-based obstacle avoidance

Map Localization

ROS 2 package for map localization

Mission Client

Receives tasks and actions from the fleet management service and update progress, state, and errors

NITROS

NVIDIA Isaac Transport for ROS package for hardware-acceleration friendly movement of messages

NITROS Bridge

Use Isaac ROS packages in your ROS 1 Noetic with NITROS-enabled performance.

Nova

Optimized Isaac ROS packages for Isaac Nova Orin.

Nvblox

NVIDIA-accelerated 3D scene reconstruction and Nav2 local costmap provider using nvblox

Object Detection

Deep learning model support for object detection including DetectNet

Perceptor

Use Isaac Perceptor for camera-based odometry and 3D reconstruction

Pose Estimation

Deep learned, NVIDIA-accelerated 3D object pose estimation

Visual SLAM

Visual odometry package based on NVIDIA-accelerated NVIDIA cuVSLAM library with world class quality and performance.