RGo Robotics introduces AI-powered Intelligent Mapping system

Edge perception systems for intelligent automation provider RGo Robotics recently announced a next generation physical AI-powered system for site mapping.

RGo said its new Intelligent Mapping system can help address one of the most significant challenges of the autonomous mobile robot (AMR) industry: the complexity and cost of site commissioning limiting adoption and scalability.

By combining RGo's Perception Engine platform integrated with NVIDIA's AI capabilities, RGo said it is changing the economics of AMR deployment, reducing time to value and increasing ROI for both end user customers and robotics system vendors.

The Intelligent Mapping system can transition site commissioning into an automatic process that can be completed in days rather than months. RGo said its new product comes at a crucial time for the automation industry, where deployment speed and efficiency are becoming a bottleneck for success.

“Our Perception Engine has already helped customers expand their automation capabilities and solve complex deployment challenges," said Amir Bousani, RGo co-founder and CEO. "Our intelligent mapping technology doesn't just solve commissioning challenges - it establishes the first foundational layer of a site-wide physical AI information platform. This layer will allow more intelligent operation and decisions powered by modern physical AI tools. I am incredibly proud of our team's achievements."

Immediate, automated mapping for fleet management, analytics

RGo's Perception Engine combines layers of computer vision algorithms (including vSLAM), AI, and sensor fusion to enable robots to understand and adapt to their environment in real-time. The platform has already proven successful in complex and dynamic environments, both indoor and outdoor.

While deployments of AMRs are scaling worldwide, the commissioning process has remained a bottleneck, often requiring months of manual work and specialized resources.

RGO said its new mapping system automatically generates fully populated site maps based on 3D vision and semantic data, which can increase accuracy and enable self-service capabilities. These maps are immediately available without further processing and enable:

• Task and mission planning
• Automation workflow design
• Traffic management
• Analytics and insights visualization leveraging the physical AI information they contain

NVIDIA Isaac Perceptor automates commissioning

The new Intelligent Mapping system uses the AI-powered intelligence of machines to automatically create the information they need to operate.

The system collects data through RGo Perception Engine units mounted on mobile machines, either as embedded system or add-ons.

Using NVIDIA CUDA-accelerated nvblox library (part of NVIDIA Isaac Perceptor) it performs 3D reconstruction before adding semantic information, leveraging general and specific object segmentation libraries, and tools.

The Intelligent Mapping system can:

• Generate synchronized localization information with 3D geometric and semantic data
• Automatically segment objects, junctions, aisles, and relevant signage
• Create detailed maps that can be shared across all mobile machines at a site
• Form the first layer of a site physical AI information platform to enable AI-powered observations and actions

RGo said its new mapping technology can deliver multiple benefits:

• Reduces commissioning time from months to days
• Enables brownfield applications without downtime for deployment
• Enables data-driven insights for operational optimization

Supports multiple applications for enhanced safety, efficiency, and productivity.