seeed-projects/seeed-jetson-developtool/deploy-nvblox

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Deploy Isaac ROS NVBlox with Orbbec RGB-D camera on Jetson AGX Orin for real-time GPU-accelerated 3D mapping (TSDF/ESDF). Sets up Docker CE, Isaac ROS 3.2, Orbbec SDK ROS2, and builds the NVBlox workspace for obstacle detection and 3D mesh generation. Requires JetPack 6.2 and ROS2 Humble.

Install

npx vskill@latest install seeed-projects/seeed-jetson-developtool/deploy-nvblox

SKILL.md

Deploy NVBlox with Orbbec Camera on Jetson AGX Orin

NVBlox builds dense 3D maps in real-time from RGB-D camera input for robotic navigation. This skill deploys it on AGX Orin with Isaac ROS and Orbbec camera support.


Execution model

Run one phase at a time. After each phase:

  • Relay all output to the user.
  • If output contains [STOP] → stop, consult the failure decision tree.
  • If output ends with [OK] → tell the user "Phase N complete" and proceed.

Prerequisites

RequirementDetail
HardwareJetson AGX Orin (e.g. reComputer J50)
JetPack6.2
CameraOrbbec RGB-D camera (Gemini 2, 330 series, etc.)
ROS2Humble installed on host
NGC accountRequired for Isaac ROS Docker image pull

Phase 1 — Install basic dependencies (~3 min)

bash
sudo apt update
sudo apt-get install -y python3-pip nvidia-jetpack git-lfs
sudo pip3 install jetson-stats

[OK] when all packages install. [STOP] if apt fails.


Phase 2 — Install Docker CE (~5 min)

bash
sudo apt-get install -y apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository "deb [arch=arm64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
sudo apt-get update
sudo apt-get install -y docker-ce
sudo systemctl enable docker && sudo systemctl start docker
sudo usermod -aG docker $USER

Reboot after adding user to docker group:

bash
sudo reboot

Verify after reboot:

bash
docker info

[OK] when docker info succeeds without sudo. [STOP] if Docker fails to start.


Phase 3 — Install Isaac ROS 3.2 (~10–20 min)

bash
mkdir -p ~/workspaces/isaac_ros-dev/src
echo "export ISAAC_ROS_WS=\${HOME}/workspaces/isaac_ros-dev/" >> ~/.bashrc
source ~/.bashrc
cd ${ISAAC_ROS_WS}/src
git clone -b release-3.2 https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_common.git

Pull and enter the Isaac ROS Docker container:

bash
cd ${ISAAC_ROS_WS}/src/isaac_ros_common
./scripts/run_dev.sh

This will pull the NGC Docker image and start the container. You will need your NGC API Key.

If you get a CDI error, fix with:

bash
sudo nvidia-ctk cdi generate --mode=csv --output=/etc/cdi/nvidia.yaml

[OK] when you are inside the Isaac ROS Docker container. [STOP] if NGC auth or Docker fails.


Phase 4 — Install Orbbec SDK ROS2 on host (~10 min)

Run these commands on the host (not inside Docker):

bash
sudo apt install -y libgflags-dev nlohmann-json3-dev \
ros-humble-image-transport ros-humble-image-transport-plugins ros-humble-compressed-image-transport \
ros-humble-image-publisher ros-humble-camera-info-manager \
ros-humble-diagnostic-updater ros-humble-diagnostic-msgs ros-humble-statistics-msgs ros-humble-xacro \
ros-humble-backward-ros libdw-dev libssl-dev mesa-utils libgl1 libgoogle-glog-dev
mkdir -p ~/ros2_ws/src
cd ~/ros2_ws/src
git clone https://github.com/orbbec/OrbbecSDK_ROS2.git
cd OrbbecSDK_ROS2 && git checkout v2-main
cd ~/ros2_ws
colcon build --event-handlers console_direct+ --cmake-args -DCMAKE_BUILD_TYPE=Release

Install udev rules:

bash
cd ~/ros2_ws/src/OrbbecSDK_ROS2/orbbec_camera/scripts
sudo bash install_udev_rules.sh
sudo udevadm control --reload-rules && sudo udevadm trigger

[OK] when colcon build completes and udev rules are installed. [STOP] if build fails.


Phase 5 — Build NVBlox in Isaac ROS container (~15 min)

Clone the Orbbec-adapted NVBlox source:

bash
git clone https://github.com/jjjadand/isaac-NVblox-Orbbec.git
cp -r isaac-NVblox-Orbbec/src/isaac_ros_nvblox/ ${ISAAC_ROS_WS}/src/
cp -r isaac-NVblox-Orbbec/src/isaac_ros_nitros/ ${ISAAC_ROS_WS}/src/
cp -r isaac-NVblox-Orbbec/build/ ${ISAAC_ROS_WS}/

Enter the Docker container and build:

bash
cd ${ISAAC_ROS_WS}/src/isaac_ros_common && ./scripts/run_dev.sh
# Inside container:
sudo apt update
sudo apt-get install -y ros-humble-magic-enum ros-humble-foxglove-msgs
echo 'CUDA_HOME=/usr/local/cuda
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export CUDACXX=$CUDA_HOME/bin/nvcc' >> ~/.bashrc
sudo ln -sf /opt/ros/humble/include/magic_enum.hpp /usr/include/magic_enum.hpp
sudo mkdir -p /opt/ros/humble/include/foxglove_msgs
sudo ln -sfn /opt/ros/humble/include/foxglove_msgs/foxglove_msgs/msg /opt/ros/humble/include/foxglove_msgs/msg
colcon build --symlink-install --cmake-args -DBUILD_TESTING=OFF
source install/setup.bash

[OK] when colcon build completes with all packages. [STOP] if compilation errors.


Phase 6 — Launch NVBlox (~2 min)

On the host, start the Orbbec camera node:

bash
cd ~/ros2_ws
source install/setup.bash
ros2 launch orbbec_camera gemini2.launch.py
# Replace gemini2 with your camera model: gemini210, gemini2L, gemini_330_series, etc.

In the Isaac ROS Docker container, verify topics and launch NVBlox:

bash
ros2 topic list
# Should show /camera/color/image_raw, /camera/depth/image_raw, etc.
cd ~/workspaces/isaac_ros-dev
source install/setup.bash
ros2 launch nvblox_examples_bringup orbbec_example.launch.py

[OK] when RViz shows 3D occupancy grids and meshes.


Failure decision tree

SymptomAction
NGC auth failsRegenerate API key at https://ngc.nvidia.com. Run ngc config set again.
CDI device error on run_dev.shRun: sudo nvidia-ctk cdi generate --mode=csv --output=/etc/cdi/nvidia.yaml.
Orbbec camera not detectedInstall udev rules (Phase 4). Replug camera. Check lsusb.
No camera topics in DockerOrbbec node must run on host, not in Docker. Verify ROS_DOMAIN_ID matches.
colcon build fails on NVBloxCheck magic_enum and foxglove_msgs are installed. Verify CUDA env vars.
RViz shows no dataConfirm camera topics are publishing: ros2 topic hz /camera/depth/image_raw.

Reference files

  • references/source.body.md — Full Seeed Wiki tutorial with Docker setup, build details, RViz configuration, and demo video (reference only)

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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