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Seamless ROS Integration: Bringing AI to Industrial Robotics

How our platform enables AI-powered robotics without the complexity of traditional ROS development.

R
Raj Kumar
Robotics Engineer
October 26, 20246 min read

The Robot Operating System (ROS) has become the standard for robotics development. But integrating sophisticated AI capabilities with ROS traditionally requires deep expertise in both domains. We're changing that.

The Integration Challenge

ROS provides excellent tools for robot control, but AI integration typically requires: - Custom message types for AI inference - Complex launch files for model serving - Manual synchronization between perception and action - Significant latency managing cloud-based AI

Our Approach

Tesan AI provides native ROS integration that handles the complexity automatically:

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Drop-In AI Nodes Pre-built ROS nodes for common AI tasks: object detection, pose estimation, path planning, and more.

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Edge Deployment AI models deploy directly to robot controllers, eliminating network latency for real-time applications.

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Sensor Fusion Automatic integration of camera, LiDAR, and IMU data with AI models for comprehensive perception.

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Motion Planning AI-optimized motion planning that adapts to dynamic environments in real-time.

Supported Platforms

We support the most popular robotic platforms: - TurtleBot 3 & 4 for research and education - Universal Robots (UR5, UR10) for industrial automation - Boston Dynamics Spot for inspection - Custom ROS-compatible platforms

Use Cases

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Warehouse Automation AI-powered pick-and-place robots that identify and grasp diverse objects without manual programming.

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Quality Inspection Mobile robots that navigate factory floors and use computer vision to identify defects.

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Collaborative Assembly Cobots that understand human intent and adapt their behavior for safe, efficient collaboration.

Getting Started

Our SDK makes ROS integration straightforward:

from tesan import ROSIntegration

perception = ROSIntegration.ObjectDetection(model="yolo-v8-nano")

perception.subscribe("/camera/image_raw")

detections = perception.detect()

The Future

We're working on swarm intelligence capabilities that will enable coordinated behavior across multiple robots—all managed through our unified platform.

Robotics + AI = The future of automation.

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