Ubiquity Robotics products are protected by U.S. Patents 10915113; 9557740; 12411496; and other pending applications. Learn More
Ubiquity Robotics products are protected by U.S. Patents 10915113; 9557740; 12411496; and other pending applications. Learn More
Ubiquity Robotics products are protected by U.S. Patents 10915113; 9557740; 12411496; and other pending applications. Learn More
Magni 6 Midi Robot, the mid-range powerhouse in our popular Magni series. Built for those who need more payload, more range, and more compute — without jumping to a full-scale platform. It’s the go-to choice for robotics enthusiasts, research labs, and professionals ready to scale up.
But what makes the Magni 6 Midi the right next step? Let’s dive deeper.
Most robots need a driver that sits on the main computer to communicate with the motor controller. However unlike most robots, every platform in the Magni 6 family, the Midi communicates natively with ROS 2 topics using Zenoh Middleware directly to the motor controller. This means you can operate with driverless operation. That means real-time, low-latency control with no proprietary translation layer between your code and your robot’s movement. For research teams and developers, this is the architecture that professional systems are actually built on.
The Midi isn’t just bigger — it’s built to carry a workload. With a payload capacity of up to 100 kg, field-oriented control brushless motors, and a chassis designed for indoor and outdoor environments, it handles sensor arrays, manipulator arms, cargo systems, and custom hardware that would overwhelm a smaller platform. More capability, same clean architecture.
Starting on the Magni 6 Mini? Scaling to a larger Ubiquity platform? The Midi sits in the middle of a fully compatible ecosystem. Your navigation stack, SLAM pipeline, fleet logic, and ROS 2 packages transfer across platforms without rewriting. For startups, that’s a direct prototype-to-product path. For research labs, it’s the ability to run the same experiments at different scales.
The Midi ships with the 8 GB variant of the Raspberry Pi 5 – double the RAM of the Mini configuration. That headroom matters when you’re running simultaneous SLAM, object detection, fleet communication, and custom sensor processing on a single board. More algorithms, more sensors, more concurrent processes – without hitting a compute ceiling mid-project.
ROS 2 Jazzy, Ubuntu 24.04, RMW Zenoh, Open-RMF Fleet Adapter – the Midi’s full software stack is the current professional and academic standard. Every tutorial, every package, every community answer on ROS Discourse and GitHub is directly applicable. You’re not learning a proprietary system nobody else uses – you’re building on the foundation that the entire robotics industry runs on.
The Midi’s architecture is designed to be built upon. Its modular mounting system and expanded I/O make integrating additional LiDARs, cameras, robotic arms, and custom payloads straightforward — no custom fabrication, no fighting the hardware. Start with what you need today. Add what you need tomorrow.
While the Mini’s LiDAR excels in tight spaces, the Midi steps up with a 12–25 meter Time-of-Flight LiDAR — giving it the spatial awareness needed to map and navigate warehouses, large labs, open office floors, and complex multi-room environments accurately. More range, more points, more reliable localization in the environments where it actually matters.
In Summary: The Magni 6 Midi gives research labs, startups, and enterprise R&D teams a platform that punches well above its size – more payload, longer sensor range, more compute, and the same open ROS 2 architecture that makes the entire Magni family worth building on. It’s the middle ground that doesn’t make you feel like you settled.
The Magni 6 Midi is built for projects that need room to grow — without taking over the room.
The Magni 6 Midi is engineered for serious development. It combines a compact-yet-capable footprint, a robust sensor suite, and enough compute and payload to accelerate your projects right out of the box.
The versatility of the Magni 6 Midi makes it suitable for a wide range of mid-scale applications — from warehouse prototyping to multi-robot research.
When your funded research program needs a platform that can carry real sensor payloads, navigate larger environments, and run demanding algorithms without compute constraints — the Midi delivers. Its 20 kg payload capacity, 8 GB Raspberry Pi 5, and 25-meter LiDAR range make it a credible workhorse for graduate research, multi-robot studies, and field trials that go beyond what a compact platform can handle. And because it runs the same ROS 2 stack as the rest of the Magni family, results translate directly across your lab’s fleet.
You’ve validated your concept. Now you need a platform robust enough to prototype your actual product — one that can carry your hardware, navigate your target environment, and integrate with your existing software stack. The Midi’s open ROS 2 architecture, 20 kg payload, and Open-RMF Fleet Adapter compatibility mean you can build, test, and iterate on real-world workflows without the overhead of custom hardware development. And when you’re ready to scale, the Magni ecosystem grows with you.
Proof-of-concept testing in actual facilities requires a robot that can handle real distances, real payloads, and real-world conditions. The Midi’s extended LiDAR range covers large floor plans, its payload capacity supports professional-grade sensors and scanning hardware, and its open architecture integrates directly with existing enterprise systems via ROS 2. Deploy faster, iterate faster, and demonstrate results your engineering leadership can actually trust.
Imagine this scenario: A logistics company is developing an autonomous inventory-scanning system across a 10,000 m² warehouse. Their R&D team deploys a fleet of Magni 6 Midis carrying custom sensor arrays and barcode readers. The 25-meter LiDAR maps the full floor layout in a single pass, the 20 kg payload handles the scanning hardware comfortably, and the open ROS 2 stack integrates directly with their existing warehouse management system. What would have taken a year of custom hardware development is tested and validated in weeks.
The Magni 6 Midi is the mid-range platform in the Magni 6 family – built for projects that have outgrown a compact robot but don’t need the footprint of a full industrial system. Compared to the Mini, the Midi offers a significantly larger payload capacity (up to 20 kg vs the Mini’s lighter-duty frame), a longer-range LiDAR (12–25 m vs 0.02–12 m), double the RAM with the Raspberry Pi 5 8 GB variant, and a larger chassis built for more demanding indoor environments. Same open ROS 2 architecture. Considerably more capability.
The Midi is built for three core audiences: university and research labs running funded programs that need a reliable, payload-capable platform for serious experiments; startups and scale-ups prototyping real-world automation workflows like logistics, inspection, or delivery; and enterprise R&D teams deploying proof-of-concept systems in actual facilities. If your project has real hardware to carry, real environments to navigate, and real deadlines to hit — the Midi is built for you.
The Midi supports a payload of up to 20 kg. In practice, that means it can carry professional-grade sensor arrays, barcode or RFID scanning systems, small robotic arms, custom cargo trays, or multi-camera rigs – the kind of hardware that defines real-world automation projects, not just lab demonstrations.
The Mini’s short-range LiDAR (0.02–12 m) is optimized for tight indoor spaces like classrooms, small labs, and corridors. The Midi’s Time-of-Flight LiDAR extends that range to 25 meters, giving it the spatial awareness to map and navigate large open environments – warehouses, multi-room research facilities, open office floors, and factory floors – accurately and reliably. More range means fewer blind spots, more complete maps, and more stable long-distance localization.
The Midi ships with a Raspberry Pi 5 with 8 GB of RAM – double the configuration typically used in smaller platforms. That headroom supports simultaneous execution of SLAM, object detection, fleet communication, and custom sensor processing on a single board without hitting a memory ceiling mid-run. For research teams running complex multi-process workloads, or startups integrating their own software stack on top of ROS 2, the 8 GB variant makes a meaningful difference in day-to-day development.
Yes, fully. The entire Magni 6 family shares the same ROS 2 Jazzy software stack, RMW Zenoh Middleware, and Open-RMF Fleet Adapter. Code written on the Mini – navigation routines, SLAM configurations, fleet logic, custom ROS 2 packages – transfers directly to the Midi without modification. For teams that start prototyping on the Mini and scale up, this compatibility eliminates the cost and time of a full software migration.
Field Oriented Control is the motor commutation method used in the Midi’s electrically commutated permanent magnet synchronous motors. Compared to simpler brushed motor systems, FOC delivers smoother torque at low speeds, more precise position and velocity control, lower heat generation under load, and better energy efficiency across the operating range. For a robot carrying 20 kg of payload across a large facility, that translates to more consistent navigation, more accurate odometry, and a drive system that holds up under sustained use.
Yes. The Open-RMF Fleet Adapter included in the software stack is specifically designed for multi-robot coordination – managing task allocation, traffic control, and shared map navigation across a fleet of robots operating in the same environment. Whether you’re running two Midis in a research corridor or deploying a larger fleet in a warehouse proof-of-concept, the coordination infrastructure is built in from day one.
Alongside our robots, we offer the tools, add-ons, and software you need to solve real-world problems — faster and smarter.
The Magni 6 Midi is just the beginning. Whether you’re ready to order, explore our add-ons, or discuss a custom solution, we’re here to help you bring your most ambitious projects to life. Connect with us and let’s start building the future.
