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InOrbit

Freemium
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About

InOrbit is a cloud-based robot operations (RobOps) platform designed to orchestrate and manage large-scale fleets of autonomous robots. It serves as a central nervous system for modern industrial environments like warehouses and manufacturing plants. By integrating robots from different vendors into a single unified interface, the platform allows operators to monitor fleet health, manage spatial data, and automate complex workflows. The core objective is to move beyond simple teleoperation to Space Intelligence, where robots, IoT devices, and enterprise data systems work in synchronized harmony. The platform utilizes an InOrbit Agent, which is a lightweight software component installed on individual robots to collect data and facilitate cloud communication. This agent transmits real-time telemetry, including robot pose, battery status, and error logs, to the InOrbit cloud. Users can then leverage Unified Command to orchestrate processes between workers and machines, and Intelligent Orchestration to map and analyze the interactions within a physical space. The system includes AI-driven insights that provide predictive alerts, helping teams identify potential bottlenecks or hardware failures before they disrupt operations. InOrbit is built for two primary audiences: enterprise operators and robot developers. For enterprise users in logistics or retail, it provides the tools needed to scale automation without being locked into a single robot manufacturer. For developers, the Ground Control and Developer Portal offer APIs, SDKs, and simulation integrations like NVIDIA Isaac Sim to accelerate the product development lifecycle. It is particularly effective for businesses managing heterogeneous fleets where different types of robots from multiple vendors must coexist and collaborate. What distinguishes InOrbit is its vendor-agnostic approach and its focus on Space Intelligence. Unlike proprietary software provided by robot manufacturers that only works with their specific hardware, InOrbit bridges the gap between disparate systems. It provides a holistic view of the operational environment, treating the facility as a dynamic workspace where every automated asset is a data point. With specialized features like Time Capsule for data playback and RobOps Copilot for AI assistance, the platform transforms raw telemetry into actionable operational strategy.

Pros & Cons

Vendor-agnostic platform supports heterogeneous robot fleets from multiple manufacturers.

Seamlessly integrates with enterprise systems like WMS, ERP, and WES for unified control.

Real-time AI-powered insights allow for proactive identification of operational bottlenecks.

Detailed data capture from ROS topics and diagnostics provides deep technical visibility.

Support for simulation environments like NVIDIA Isaac Sim accelerates the testing lifecycle.

Requires the installation of a dedicated software agent on every robot in the fleet.

Connectivity and remote control are dependent on stable robot-to-cloud communication.

Advanced features and full orchestration capabilities require a paid Premium subscription.

Custom data publishing and ROS topic capture require specialized technical knowledge.

Use Cases

Warehouse managers can synchronize different brands of autonomous mobile robots with their WMS to optimize picking and packing workflows.

Robot developers can use Ground Control and simulation tools to test software updates across a virtual fleet before production deployment.

Logistics operations teams can set up automated alerts for robot errors, allowing for remote intervention and reduced physical downtime.

Facility planners can analyze spatial data to identify traffic bottlenecks between robots and human workers in shared industrial spaces.

Educational institutions can utilize the Edu Edition to teach students about RobOps and fleet management in controlled research environments.

Platform
Web
Task
robot orchestrating

Features

time capsule data playback

multi-vendor robot directory

nvidia isaac sim integration

robops copilot

ai-driven operational insights

real-time robot monitoring

intelligent orchestration mapping

unified command orchestration

FAQs

What is the InOrbit agent?

The agent is a lightweight software component installed on robots to facilitate communication with the InOrbit cloud. It handles data transmission, command execution, and real-time monitoring of the robot status without requiring constant root access.

Which robots can be controlled by InOrbit?

InOrbit is a vendor-agnostic platform designed to orchestrate heterogeneous fleets. It can connect and manage various types of autonomous robots from different manufacturers within a single unified interface using standard protocols.

How does InOrbit handle data from ROS?

The platform is deeply integrated with the Robot Operating System, allowing the agent to capture data from ROS topics and diagnostics. This enables detailed telemetry, custom data publishing, and technical troubleshooting from the cloud.

What is Space Intelligence?

Space Intelligence is an orchestration layer that integrates autonomous robots, IoT devices, and business data. It provides unmatched orchestration capabilities for warehouses and manufacturing facilities by creating a central nervous system for operations.

Can I monitor error situations across a fleet?

Yes, InOrbit provides real-time monitoring and alerts that enable rapid response times. The platform uses AI-powered vision and insights to identify and address potential issues before they impact the broader operation.

Pricing Plans

Premium / Enterprise
Unknown Price

Advanced Space Intelligence

Unified Command

WMS/ERP integration

RobOps Copilot

Time Capsule data playback

Priority support

Custom ROS data capture

Edu Edition
Unknown Price

Special academic licensing

RobOps educational tools

Fleet simulation support

Free Edition
Free Plan

Basic fleet monitoring

Agent installation

Real-time robot pose

Community support

Robot directory access

Job Opportunities

There are currently no job postings for this AI tool.

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