Add computer vision to your robots with Groundlight’s ROS2 and Python SDK
Easily integrate visual intelligence into robotic systems, combining machine learning efficiency with human-level reliability.
Groundlight’s ROS2 and SDK packages make it simple to integrate reliable computer vision into your robotic platforms.
Groundlight’s unique escalation architecture automatically identifies new situations, integrates real-time corrections, automatically retrains models and deploys to the edge for immediate use.
Automate model training and deployment. Supporting both cloud and edge inference, Groundlight’s Python SDK and ROS 2 package let you build and deploy applications in minutes with active learning and continuous retraining.
Groundlight automatically builds, manages, and updates edge models on a per-robot basis for maximum efficiency and effectiveness.
Computer vision for every robot
Whether it's industrial robot arms, AMRs, humanoids, or emerging form factors, Groundlight enables computer vision for all of your real-world robot applications.
Collaborative Robots
Detect and adapt to changing environments and conditions with Groundlight. Perform real-time inspections, detect anomalies, handle exceptions, all from the same system. Integrate edge AI capabilities with Universal Robots, Fanuc, and more using the Groundlight Compute Module.
Humanoid and Service Robots
Foundation models enable incredible capabilities but fail unpredictably in new situations. Groundlight automatically generates power-efficient, environment-specific supervisory models at the edge to recognize objects, monitor for new conditions, and trigger interventions. Enable scalable supervision of large deployments.
Autonomous Mobile Robots
Efficiently add inspection capabilities or visual sensing for long-range obstacle avoidance or detect unsafe operating conditions. Groundlight automatically builds and deploys edge models with integrated anomaly detection and continuous retraining to enable reliable operation in unreliable environments.
Drones
Quickly add robust visual inspection and anomaly detection capabilities to your drone applications. For infrastructure, agriculture, construction, asset monitoring, and more, groundlight automates model development to eliminate the data collection and training overhead for your application. Anomaly detection and continuous retraining enhance robustness in challenging environments.
Deploy vision applications with ROS2 and Groundlight’s Python SDK
Quickly build and deploy vision-powered robotics applications using Groundlight’s Python SDK and ROS2 — no training data, pre-trained models, or computer vision expertise required.
ROS2
Easily embed Groundlight’s vision capabilities into your robot using Groundlight’s open-source ROS2 package. Groundlight's ROS2 package adds an Action Server that answers image queries and provides incremental feedback when queries escalate for human review.
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