MOV.AI and Lanner Electronics announced the integration of Lanner's Edge AI computing appliance, MOV.AI's Robotics Engine PlatformTM, and the NVIDIA Isaac robotics platform. The integration provides Autonomous Mobile Robot (AMR) manufacturers and automation integrators with a robust platform that speeds up development, improves operational efficiency and optimizes robot performance in dynamic industrial environments. Modern warehouses pose unique challenges for automation.

Physical repetition, lack of distinctive features, or frequently changing items are a challenge for perception and navigation systems. Multiple robot types performing different tasks create synchronization and fleet management challenges and numerous integrations are required between management systems and IoT devices. Humans introduce uncertainty while new connected systems require security measures, policies, and update methods that are not engrained in traditional robot systems. The new integrated solution solves all these issues by leveraging Lanner's EAI-I130 NVIDIA Jetson-based edge AI computing appliance and MOV.AI's Robotics Engine PlatformTM that incorporates NVIDIA Isaac ROS GEMs, which are hardware-accelerated packages for perception, SLAM navigation, image processing and more. The joint offering provides robot developers with fully integrated high-performance hardware, hardware-optimized robotics SDKs and a visual IDE that wraps it together to speed up development.

The solution speeds robot time to market and ensures high-performance robots. Optimized for AI functionality, performance, and ease of deployment, Lanner's Edge AI appliances are NVIDIA NGC-ready with NVIDIA GPU Compatibility. The appliances are integrated with the MOV.AI's Robotics Engine PlatformTM that offers developers a visual IDE for faster development and deployment.

Developers can drag and drop the NVIDIA Isaac ROS GEMs directly in the MOV.AI development tools to quickly build high-performance robots.