Technology

Open standards.
Enterprise grade.

Movel AI is built on open robotics standards — Open-RMF and ROS 2 — hardened for enterprise production environments. No vendor lock-in. No proprietary black boxes. Just powerful, transparent, and extensible robotics software.

Core Standard

Open-RMF

The global standard for multi-robot interoperability

Open RMF (Robotics Middleware Framework) is the open-source framework for managing heterogeneous robot fleets in shared spaces. Movel AI is Open-RMF compliant and one of the world's most experienced Open-RMF implementation partners — deployed in production across warehouses, airports, factories and shopping malls on 4 continents.

Capabilities

  • Fleet adapter implementation for 10+ robot brands
  • Building adapter (lifts, doors, access control)
  • Task management system (RMF Tasks)
  • Traffic negotiation and deconfliction
  • Visualization dashboard
  • Custom fleet adapter development
Navigation Stack

ROS 2 Platform

Production-grade robotics operating system

ROS 2 (Robot Operating System 2) is the industry standard robotics middleware used by virtually every serious robotics company. Movel AI engineers are ROS 2 core contributors — we know the internals, the edge cases, and how to deploy it reliably at enterprise scale.

Capabilities

  • ROS 2 Humble, Iron, and Jazzy support
  • Nav2 navigation stack integration and optimization
  • SLAM Toolbox and Cartographer integration
  • DDS/FastRTPS/Zenoh communication layer
  • ROS 1 to ROS 2 migration services
  • Custom ROS 2 node development
Legacy Stack

ROS 1 Native Stack

Full support for ROS 1 production environments

Many enterprise robots still run ROS 1 (Noetic, Melodic) — and Movel AI supports them natively. Our ROS 1 stack is hardened for production, enabling you to operate, monitor, and integrate ROS 1 robots alongside modern ROS 2 systems without a forced migration.

Capabilities

  • ROS 1 Noetic and Melodic support
  • ROS 1 navigation stack (move_base, AMCL)
  • rosbridge for web-based telemetry
  • ROS 1 ↔ ROS 2 bridge for mixed fleets
  • Legacy robot adapter development
  • Phased migration to ROS 2 pathway
Physical AI

AI-Driven Navigation & Orchestration

Machine learning for real-world robotics

Beyond rules-based systems, Movel AI applies machine learning to optimize robot operations in ways that static algorithms can't. Predictive scheduling learns from historical patterns. Adaptive routing responds to real-time facility changes. Anomaly detection catches problems before they cause failures.

Capabilities

  • Predictive task scheduling using historical data
  • Adaptive route optimization for changing conditions
  • Anomaly detection and predictive maintenance
  • Computer vision-based semantic mapping
  • Reinforcement learning for traffic optimization
  • Natural language task specification

// Complete Stack

Every layer. Enterprise-hardened.

Infrastructure

  • Docker containers
  • Kubernetes orchestration
  • AWS / Azure / GCP
  • On-premise deployment
  • Edge compute support
  • 99% uptime SLA

Communication

  • DDS / FastRTPS
  • Zenoh protocol
  • MQTT (IoT)
  • WebSocket (real-time)
  • REST API
  • GraphQL

Integration

  • SAP ERP connector
  • WMS adapters
  • MES connectors
  • Custom API adapters
  • Webhook support
  • Lift & door adapters

Ready to see the technology in action?

Book a technical deep-dive with our engineering team. We'll walk through the architecture live.

Technical Demo Partner Ecosystem