THE PROBLEM

AUTONOMY SHOULD NOT DEPEND ON A CENTRAL CONTROLLER

Many unmanned systems operate through a Robot-to-Control-Station model. Drones, unmanned ground vehicles, sensors, and other autonomous platforms send information back through a ground control station, IP gateway, or centralized environment to coordinate action.

That architecture can create dependencies on centralized connectivity and infrastructure precisely where operations are most distributed, mobile, and dynamic.

Rajant / RHI R2R changes that model.

R2R enables physical autonomous systems to communicate and collaborate directly across Rajant’s peer-to-peer communications foundation while distributed edge technologies extend sensing, compute, applications, and intelligence closer to the machines themselves.

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HOW R2R WORKS

DIRECT MACHINE DISCOVERY AND CONNECTIVITY

InstaMesh® Layer 2

InstaMesh provides the Layer 2 peer-to-peer communications fabric connecting machines across the R2R environment.

Without requiring a centralized network controller to determine packet paths, InstaMesh continuously evaluates available connections and moves data across the network as machines move and conditions change.

Autonomous platforms entering the network can establish connectivity with other reachable nodes without requiring every interaction to be coordinated through centralized network infrastructure.

SENSOR AND DATA INTEROPERABILITY

SAS

Autonomous systems generate and consume data through different sensors, platforms, protocols, and applications.

SAS provides the sensor and data ingestion layer for connecting supported physical and digital data sources with applications operating across the distributed edge.

This allows information generated by different machines and sensors to become available to distributed applications and workflows without requiring every platform to operate as an isolated data environment.

DISTRIBUTED APPLICATION EXECUTION

CORA

CORA runs on Cowbell nodes and clusters, where it orchestrates containerized and non-containerized applications, moves data, and continues AI execution when centralized connectivity is unavailable.

By moving application execution and workload orchestration closer to the autonomous systems generating and acting on data, CORA reduces dependence on continuous connectivity to centralized cloud or control infrastructure.

Machines can discover reachable peers across the mesh, exchange operational data, and run applications locally while CORA continues application and AI execution across compatible edge resources.

DISTRIBUTED SECURITY

RiSM / RPT

Autonomous systems operating across distributed environments require protection that extends beyond centralized infrastructure.

RiSM and related security capabilities extend protection closer to the communications, compute, applications, and physical platforms operating across the distributed edge.

This creates a security foundation for autonomous systems operating across mobile and distributed environments.

WHAT R2R ENABLES

MACHINES THAT COMMUNICATE, COORDINATE AND ACT

R2R enables machines to communicate, share operational data, coordinate through local applications, and act without every interaction depending on centralized infrastructure.

DIRECT MACHINE-TO-MACHINE COMMUNICATION

Robots and autonomous systems can exchange data directly across Rajant’s peer-to-peer communications environment.

DISTRIBUTED COORDINATION

Applications and workloads operate closer to the machines generating and using information, allowing coordination across distributed autonomous systems without requiring every interaction to return through a centralized controller.

CROSS-PLATFORM DATA SHARING

Supported sensors, machines, and applications make operational data available across a broader distributed environment.

COLLABORATIVE AUTONOMY

Multiple autonomous systems can communicate and coordinate across a common distributed architecture rather than requiring every interaction to return through a central controller.

RESILIENT MOBILE OPERATIONS

As machines move and network conditions change, Rajant’s communications foundation continuously evaluates available paths and moves data across the network.

EDGE EXECUTION

Applications, analytics, AI processing, and decision support operate closer to the autonomous systems generating and acting on information, including when centralized connectivity is unavailable.

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A DIFFERENT MODEL FOR AUTONOMOUS OPERATIONS

FROM ROBOT-TO-CONTROLLER TO ROBOT-TO-ROBOT

TRADITIONAL CENTRALIZED MODEL

Coordination

Robot-to-controller

Communications

Dependent on centralized network or control infrastructure

Application Execution

Centralized or isolated at individual platforms

Multi-Platform Data

Often dependent on platform-specific integrations

Operational Model

Machines communicate primarily through centralized coordination

RAJANT / RHI R2R MODEL

Coordination

Robot-to-robot and machine-to-machine

Communications

Peer-to-peer Layer 2 communications through InstaMesh®

Application Execution

Distributed across compatible edge resources through Cowbell and CORA

Multi-Platform Data

Connected through supported SAS sensor and data interfaces

Operational Model

Machines communicate, share information, run applications at the edge, and coordinate across a distributed architecture

THE TECHNOLOGIES BEHIND R2R

INSTAMESH®

PEER-TO-PEER COMMUNICATIONS

Provides the Layer 2 communications fabric connecting mobile and autonomous systems without requiring a centralized network controller to determine packet paths.

DX5 FINCH

EMBEDDED KINETIC MESH CONNECTIVITY

DX5 Finch is Rajant’s 47-gram board-level Kinetic Mesh® radio. Powered by InstaMesh®, it provides peer-to-peer connectivity without a central network controller and embeds Rajant’s communications fabric into UAVs, UGVs, autonomous systems, and mobile robotics.

SAS

SENSOR & DATA INGESTION

Connects supported physical and digital data sources with applications and workflows operating across the distributed edge.

CORA

DISTRIBUTED APPLICATION EXECUTION

Orchestrates applications, moves data, and continues AI execution across compatible Cowbell edge resources when centralized connectivity is unavailable.

COWBELL

DISTRIBUTED EDGE COMPUTE

Cowbell brings edge compute, application orchestration, and AI inference onto autonomous platforms, including when backhaul connectivity is lost.

FLYING COWBELL

EMBEDDABLE COMPUTE + CONNECTIVITY

Flying Cowbell is the embeddable Cowbell payload for robots, drones, and mobile platforms. It combines edge compute, CORA, and Kinetic Mesh connectivity to run onboard AI inference and sensor fusion.

RiSM / RPT

DISTRIBUTED SECURITY

Extends security capabilities closer to communications, compute, applications, and physical assets operating across distributed environments.

ROBOT-TO-ROBOT AUTONOMY

COMMUNICATE. COORDINATE. ACT.

The Rajant / RHI R2R platform extends distributed communications, compute, sensing, security, applications, and intelligence directly into autonomous operations.

Machines can communicate, exchange operational data, run applications at the edge, and coordinate across a distributed environment without requiring every interaction to depend on centralized infrastructure.