Case Study: Cartken achieves reliable all-weather autonomous robotics with RealSense depth cameras

A RealSense Case Study

Preview of the Cartken Case Study

Cartken scales all-weather autonomous robots with RealSense across indoor, outdoor, and industrial operations

Cartken, an AI-powered robotics company, needed a sensing solution to enable its autonomous robots to navigate the complex perception challenges of moving between indoor and outdoor environments. These challenges included uneven sidewalks, varying weather conditions, and unpredictable industrial settings, requiring precise and reliable real-time perception. To meet this challenge, they turned to vendor RealSense and its depth cameras.

The solution implemented by RealSense centered on its D455 and D456 depth cameras, which provided outdoor-ready performance and rugged enclosures. These cameras became the core of Cartken's vision-based navigation system, feeding data into advanced AI and sensor fusion algorithms for robust obstacle avoidance and path planning. As a result, Cartken successfully expanded its operations from last-mile delivery to large-scale industrial automation. RealSense's technology provided the foundational perception that enabled this reliable operation at scale in any environment.


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