MOV.AI partners with Lanner Electronics for integrated ROS AMR platform

MOV.AI and Lanner diagram

MOV.AI and Lanner Electronics announced today the integration of Lanner’s Edge AI computing appliance, MOV.AI’s Robotics Engine Platform, and the NVIDIA Isaac robotics platform. By combining these two technologies, manufacturers and integrators of Autonomous Mobile Robots (AMRs) have access to a robust platform that can be used to rapidly advance their products, streamline their operations, and maximize their robots’ abilities in the ever-changing conditions of industrial settings.

The automation of modern warehouses presents its own set of challenges. Perception and navigation systems struggle in environments with physical repetition, an absence of distinctive features, or items that change constantly. There are a lot of integrations that need to be made between management systems and IoT devices, and synchronization and fleet management is becoming difficult when there are multiple robot types performing different tasks. In addition to the inherent unpredictability that humans bring, the security, policies, and update methods required by modern, interconnected systems are not built into legacy robot architectures.

The new integrated solution solves all of these issues by using Lanner’s EAI-I130 NVIDIA Jetson-based edge AI computing appliance and MOV.AI’s Robotics Engine Platform, which includes NVIDIA Isaac ROS GEMs, that are hardware-accelerated packages for perception, SLAM navigation, image processing, and more.

The joint offering gives robot developers high-performance hardware that is fully integrated, robotics SDKs that are optimized for the hardware, and a visual IDE that ties everything together to speed up development. The solution shortens the time it takes to get a robot to market and makes sure that it works well.

According to Motti Kushnir, MOV.AI’s CEO, “This is exciting on several levels. First and foremost the integration allows fast time to market for a superior product that meets the needs of today’s warehouse automation challenges. Logistics is a $9 trillion industry, and automation is playing an important role in its optimization. We are excited to integrate with NVIDIA Isaac ROS GEMs as part of our strategy to improve operational efficiency and accelerate deployment of AMRs in warehouses and industrial manufacturing environments. Second, from MOV.AI’s perspective, this is a huge achievement. NVIDIA, with its Isaac platform, is a major force in the robotics industry, continuously driving it forward. Together with Lanner, we are honored to partner to provide the robotics community with the tools they need to create robots that deliver value quickly and continuously.”

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 MOV.AI’s Robotics Engine Platform which 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.

“Our expertise in creating NVIDIA-optimized edge computing servers, combined with MOV.AI’s state-of-the-art AMR software powered by NVIDIA edge AI and robotics technologies, provides an off-the-shelf platform to build enterprise-grade autonomous robots for today’s challenging industrial environments,” said Jeans Tseng, CTO of Lanner Electronics. “We are confident that our AMR platform will enable service providers and manufacturers to quickly deploy the top-performing AMR solution to the industrial IoT applications.”

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Written by

Mike Oitzman

Mike Oitzman is Senior Editor of WTWH's Robotics Group, cohost of The Robot Report Podcast, and founder of the Mobile Robot Guide. Oitzman is a robotics industry veteran with 25-plus years of experience at various high-tech companies in the roles of marketing, sales and product management. He can be reached at