RGo Robotics, a provider of AI-powered, location-aware artificial perception platform, recently announced the integration of NVIDIA Isaac robotics technologies into RGo Robotics platforms to help advance AI-powered automation.
The companies made the announcement at COMPUTEX in Taipei.
Perception Engine & NVIDIA integration
RGo's Perception Engine, a deployed vision and AI offering for localization, obstacle detection and scene understanding, will integrate NVIDIA Isaac Perceptor technologies to provide advanced vison capabilities to AI-based autonomous mobile robots. This integrated software stack is compatible with the newly released NVIDIA Nova Orin Developer Kit.
Using RGo's perception offering with NVIDIA Isaac Perceptor, running on NVIDIA Jetson Orin modules, customers can deploy intelligent mobile robots within a few months. A mobile robot based on Isaac Perceptor acceleration libraries with RGo can quickly be set up in new facilities, operate reliably in any environment - even in complex, dynamic ones where there is a high level of change - and automate tasks both indoors and outdoors.
By using RGo with Isaac Perceptor, customers can utilize the unique data generated by the platform, including positioning, dynamic mapping and geometric and semantic understanding, to enhance intelligent robots with GenAI-powered autonomy, natural language human-robot interaction, advanced analysis, and insights.
“The RGo Perception Engine running on NVIDIA Jetson Orin modules is already deployed in dynamic and complex warehousing and manufacturing environments, helping enable intelligent automation in places not possible before,” said Amir Bousani, co-founder and CEO of RGo Robotics. “The expanded integration and availability of the RGo Perception Engine with NVIDIA Isaac Perceptor will help enable many more customers to deploy more intelligent mobile machines that can operate reliably in any environment. Visual perception is an enabler for the generative AI revolution in robotics.”
Leveraging NVIDIA Isaac software tools and packages, as well as NVIDIA Metropolis vision AI developer tools to build, deploy and scale vision AI and generative AI, RGo can offer advanced capabilities like generation of facility maps using just a camera and identification of obstacles, including very challenging ones like forks on the floor, as well as other features that are unique to specific customer needs.
“The era of robots powered by physical AI is here,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “RGo’s solutions for AMRs, accelerated by NVIDIA Isaac, will let customers across industries deploy mobile robots that can better perceive, understand and interact with the world around them.”
Article topics
Email Sign Up
Related Artificial Intelligence News
Related Companies
Related Resources
