spatial-ai-depthai

Name: spatial-ai-depthai
Availability: InStock
Author: wimble

Enable on-device spatial AI inference and depth sensing with DepthAI/OAK-D cameras.

18|2|Updated Apr 20, 2026

Search Tags:#ros2 #depthai #oak-d #spatial-detection #on-device-inference #depth-sensing

Ready to run

npx skills add https://github.com/wimblerobotics/ros2-copilot-skills --skill spatial-ai-depthai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spatial-ai-depthai
Source: https://github.com/wimblerobotics/ros2-copilot-skills/tree/main/spatial-ai-depthai
Command: npx skills add https://github.com/wimblerobotics/ros2-copilot-skills --skill spatial-ai-depthai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

DepthAI/OAK-D spatial AI enables on-device perception, depth sensing, and spatial detections directly on the robot without cloud processing.

Core Features & Use Cases

On-device neural inference and stereo depth with DepthAI pipelines.
Spatial detections and 3D coordinates in ROS 2 contexts using depthai_ros_driver.
Use cases include mobile robotics perception, obstacle avoidance, and spatial mapping.

Quick Start

Connect an OAK-D device and start the depthai_ros_driver node to begin publishing RGB, depth, and NN outputs to ROS topics.

Frequently Asked Questions about spatial-ai-depthai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I run on-device spatial AI inference with an OAK-D camera in ROS 2?▼

On-device spatial AI inference runs by connecting an OAK-D camera and starting the depthai_ros_driver node to publish RGB, depth, and neural network outputs to ROS 2 topics for real-time perception.

Do I need a DepthAI device to use spatial detection in my ROS 2 perception pipeline?▼

Yes, you need a DepthAI device from the OAK-D family, along with ROS 2 Jazzy or Rolling and the depthai_ros_driver package to execute the stereo depth and spatial detection pipelines.

What is spatial AI depth sensing and how does it help mobile robotics obstacle avoidance?▼

Spatial AI depth sensing uses stereo cameras to perform on-device neural inference and 3D localization, enabling autonomous navigation and obstacle avoidance without cloud processing, which reduces latency and CPU load.

Can I reduce CPU load on my robot by running depth sensing and 3D localization directly on the device?▼

Yes, DepthAI pipelines handle neural inference and stereo depth directly on the OAK-D device, offloading computation from the host CPU and reducing latency for ROS 2 robotic applications.

What ROS 2 topics does the depthai_ros_driver publish for spatial mapping and detection?▼

The depthai_ros_driver node publishes RGB, depth, and neural network spatial detection outputs to ROS 2 topics, providing the 3D coordinates needed for spatial mapping and perception pipelines.