Frota 360: Toward Fleet Management System for Heterogeneous Robots Operating on Offshore Platforms

Frota 360 is a robot fleet management (RFM) framework designed to support autonomous inspection in oil and gas (O&G) facilities, where operators must coordinate heterogeneous robots under strict safety, connectivity, and cybersecurity constraints. Existing commercial solutions are typically cloud-centric, vendor-specific, or weakly integrated with mission planning and inspection workflows, while opensource frameworks such as Open robotics middleware framework (Open-RMF) primarily focus on traffic negotiation and basic task orchestration. This paper presents an on-premise, physically isolated architecture that extends Open-RMF with an O&G-oriented interoperability and supervision layer, enabling coordinated multi-robot inspection. As a work in progress, the proposed system introduces a vendor-agnostic abstraction for legacy and modern robots. We present an early iteration that extends RMF-Web with a supervisory dashboard tailored to the operational requirements of Petrobras, the leading O&G company in Brazil. The envisioned interface incorporates role-based access control via Keycloak, live streaming of camera and perception data, and 2D/3D visualization of robot states aligned with facility maps and computeraided design (CAD) models, supporting situational awareness and operator-in-the-loop supervision in industrial environments. The ongoing development of Frota 360 is motivated by an initial in-situ analysis at Petrobras facilities using ANYmal, Spot, and the Taurob Inspector under commercial fleet management systems to identify architectural and operational limitations. We validate the architecture through a phased methodology whose results follow a middleware comparison of Zenoh against data distribution service (DDS) implementations over the experimentalWi-Fi mesh; quantitative gains from large-scale CAD loading optimizations; laboratory monitoring-task trials with two real wheeled robots, including sim-to-real timing, that exercise dispatch, live supervision, and photo generation under an isolated stack; and physics-based Gazebo experiments of multi-robot inspection timing in an offshore digital twin. Together, these experiments de-risk the communication, environment-modeling, and coordination choices that advance Frota 360 toward a deployable on-premises RFM for O&G inspection.