Grande 44 Physical AI Autonomous Industrial Towing Robot for Outdoor and Indoor Use

18 June 2026 01:52 PM

Summary:The Grande 44 autonomous industrial robot applies Physical AI to deliver high-power, heavy-duty towing and fully autonomous outdoor-to-indoor operations for industrial logistics and yard environments.




The Grande 44 is a next-generation Physical AI-powered autonomous mobile robot designed to extend industrial automation beyond traditional warehouse environments into demanding outdoor and mixed operational settings. Built for heavy-duty performance, the platform delivers up to 44 horsepower of peak power and a towing capacity of 6,000 lb (2,721.5 kg), targeting large-scale logistics, material handling, and yard-based industrial workflows where conventional automation systems often struggle.





Unlike standard automated guided vehicles and warehouse-focused AMRs that rely on structured floors, fixed navigation infrastructure, and controlled lighting, Grande 44 is engineered for unstructured terrain. It can operate continuously across both indoor and outdoor environments, navigating gravel, slopes, dust, mud, and variable weather conditions. This capability enables seamless transitions between facility interiors and complex outdoor industrial zones without requiring physical infrastructure changes.


The platform supports multiple industrial use cases, including autonomous towing and transport, where fleets of units function as distributed material movers to maintain continuous operational flow. It also enables autonomous scouting and asset tracking through integrated sensing systems, improving real-time visibility across large industrial yards. In addition, a reinforced cargo system supports payload handling of up to 1,500 lb (680.3 kg), while modular attachments extend functionality to applications such as vegetation control and large-area maintenance.




Its autonomy stack is trained on large-scale real-world operational data collected from millions of environmental scenes, including varied terrain, lighting conditions, and extreme weather. The system has accumulated over 1 million hours of autonomous operation across diverse global deployments, allowing continuous refinement of perception, navigation, and decision-making capabilities. This data-driven approach strengthens reliability in unpredictable industrial environments, from high-traffic logistics hubs to remote outdoor yards.