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Ranger Mini 3.0 Pack + ROS 2 R&D Kit
Génération Robots Lab | A-000000-07889
Price upon request
This turnkey pack combines the AgileX Ranger Mini 3.0 UGV and the GR Lab ROS 2 R&D Kit so you can start with zero integration. Go straight to development.
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Ranger Mini 3.0 + ROS 2 R&D Kit: the ready-to-use platform
Kick off your autonomous navigation, SLAM, and perception projects with no assembly phase. This bundle brings together the AgileX mobile base Ranger Mini 3.0 and the ROS 2 R&D Kit designed by our GR Lab (Engineering design office at Génération Robots).
Upon delivery, plug in, power on… and code. Mechanical and electrical integration is done, the Ubuntu + ROS 2 environment is pre-installed, sensors are recognized, and remote access via VNC is operational to supervise the platform in just a few clicks.
Why choose this pack?
- Save weeks of mechanical/electrical integration and software setup.
- Reduce the risk of hardware and software incompatibilities.
- Start immediately with ROS experiments (navigation, SLAM, perception).
- Single point of contact for integration and support (GR Lab).
What you get
1) Mobile base: AgileX Ranger Mini 3.0
The Ranger Mini 3.0 is a compact, robust, omnidirectional UGV designed for both indoor and outdoor use. Its all-metal chassis (IP54) handles real-world conditions, while advanced mobility enables precise maneuvers, up to a zero turning radius to spin in place.
- Chassis: all-metal body, rugged industrial design
- Drive: 4 steering motors (100 W) + 4 speed controllers (350 W)
- IP54: dust- and splash-resistant
- 4 driving modes: Spin, Traverse, Diagonal, Double Ackermann
- Agility & performance:
- 105 mm ground clearance to clear obstacles
- 15° gradeability (with load)
- 75 kg payload
- 7–8 h runtime (removable 48V24Ah battery)
- Up to 35 km after one hour of charging
2) ROS 2 R&D Kit (GR Lab integration)
The ROS 2 R&D Kit eliminates weeks of integration. GR Lab engineers mount the sensors, wire and configure the system, then install the OS (Linux Ubuntu), ROS 2 and the component packages.
- Mechanical: component integration on the mobile base
- Electrical: wiring and interconnection of all equipment
- Software: installation and configuration of ROS 2 packages for the components
- Remote access: VNC deployment (remote monitoring/control of the onboard computer via a dedicated page)
- OS: Linux Ubuntu installation + ROS 2 development environment
Delivered turnkey: upon receipt, plug in, power on and code. No need to build the software infrastructure beforehand.
Available kit versions (choose one)
Select the configuration that matches your needs and budget:
Budget
- LiDAR Robosense Airy
- RealSense D435 camera
- 5G industrial router
- Asus NUC 15 Pro PC
- Memory (RAM): 16 GB DDR5
- Storage: 500 GB NVMe SSD
Efficient
- LiDAR Robosense Helios 16
- RealSense D435 camera
- 5G industrial router
- Asus NUC 15 Pro PC
- Memory (RAM): 16 GB DDR5
- Storage: 500 GB NVMe SSD
Performance
- LiDAR Ouster OS1 32
- RealSense D435 camera
- 5G industrial router
- Asus NUC 15 Pro PC
- Memory (RAM): 32 GB DDR5
- Storage: 1 TB NVMe SSD
- Nvidia Orin AGX 64 GB
Performance +
- LiDAR Ouster OS1 128
- RealSense D435 camera
- 5G industrial router
- Asus NUC 15 Pro PC
- Memory (RAM): 16 GB DDR5
- Storage: 500 GB NVMe SSD
- Nvidia Orin AGX 64 GB
Need a different sensor, another computer, or storage/hardening options? GR Lab can customize the kit to your specifications.
Project Zephyr: a mobile manipulator platform for ETH Zurich
For this project, ETH Zurich entrusted GR Lab with the development of Zephyr, an autonomous mobile base equipped with a robotic arm carrying a smartphone.
The goal is to automatically measure signal quality in indoor and outdoor environments while accurately recording the smartphone’s position. Zephyr is based on a Ranger Mini 3.0 platform with SLAM, autonomous navigation, obstacle avoidance, a graphical interface for mission planning and an HTTP API for integration with ETH Zurich’s research tools.
More broadly, we offer the PiPER robotic arm from AgileX Robotics as an option on our ROS 2 R&D bundles based on AgileX mobile platforms. This configuration combines mobile navigation and manipulation and enables rapid prototyping of complete mobile-manipulator robotics scenarios: object picking, interaction with the environment, advanced algorithm testing or automated measurement campaigns such as those carried out with Zephyr for ETH Zurich.
Who is it for?
Universities, laboratories, R&D centers, and innovation teams looking to prototype fast and validate better: autonomous navigation, SLAM, perception/sensor fusion, inspection & security on industrial or logistics sites, demonstrators, and mobile robotics education.
What’s included
- Ranger Mini 3.0 base assembled and tested
- LiDAR as per version, Intel RealSense D435 camera, Teltonika 5G router
- Mechanical integration (mounts, rail fixtures) and electrical integration (power/communication)
- Software installation (Ubuntu, ROS 2, sensor packages, VNC)
- Integration and user documentation
Technical specifications of the Ranger Mini 3.0 + ROS 2 R&D Kit Pack
Ranger Mini 3.0
- Dimensions: 720mm×500mm×345mm
- Wheelbase: 494 mm
- Track width: 364 mm
- Weight: 75 kg
- Max speed: 7.2 km/h
- Ground clearance: 105 mm
- Minimum turning radius: 0 mm
- Electronic brakes
- Maximum load in motion: 120 kg
- Climbing capacity: 15° (with load)
- 4 independent drive wheels
- Maximum mileage: 35 km
- Maximum battery life: 7–8 h
- Operating temperature: -20~45°
- Charging time: 1.5 h
- Power supply: 48V
- Lithium iron phosphate battery 48V24AH
- Motor: 4 × 100 W (steering) + 4 × 350 W (drive)
- Communication interface: standard CAN
- Suspension type: independent suspension and swing arm
- Protection rating: IP54
6-axis PiPER robotic arm
- Degrees of freedom: 6
- Payload: 1.5 kg
- Weight: 4.2 kg
- Repeatability: ± 0.1 mm
- Reach: 626 mm
- Input voltage: DC24V
- Material: aluminium alloy body, polymer shell
- Controller: integrated
- Communication: CAN
- Programming: drag teaching / offline trajectory / API / PC
- External interface: Power*1, CAN*1
ROS 2 R&D Kit
Versions
- Budget: Robosense LiDAR Airy + industrial 5G router + Realsense camera D435 + Asus NUC 15 Pro PC (16 GB DDR5 RAM / 500 GB NVMe SSD)
- Efficient: Robosense LiDAR Helios 16 + industrial 5G router + Intel Realsense camera D435 + Asus NUC 15 Pro PC (16 GB DDR5 RAM / 500 GB NVMe SSD)
- Performance: Ouster LiDAR OS1 32 + industrial 5G router + Realsense camera D435 + Asus NUC 15 Pro PC (32 GB DDR5 RAM / 1 TB NVMe SSD) + Nvidia Orin AGX 64 GB
- Performance +: Ouster LiDAR OS1 128 + industrial 5G router + Realsense camera D435 + Asus NUC 15 Pro PC (32 GB DDR5 RAM / 1 TB NVMe SSD) + Nvidia Orin AGX 64 GB
Enclosure
- Dimensions: 580 × 400 × 220 mm
- Weight: ~ 10 kg
System integration (choice)
- ROS1 Noetic & Ubuntu 20.04
- ROS2 Humble & Ubuntu 24.04
GPS localisation system
- ZED-F9P: centimetre-level precision (RTK compatible)
Onboard computer
- Model: Asus NUC 15 Pro
- Dimensions: 117 × 112 × 37 mm
- Processor: Intel Core Ultra
- RAM: 16 GB or 32 GB DDR5
- Storage: 500 GB or 1 TB NVMe SSD
- USB ports: up to 7 USB ports including 2 Thunderbolt 4
- Network: 1 × 2.5 GbE Ethernet
- Wi-Fi: Wi-Fi 7
- Bluetooth: 5.4
- Power supply: 19 V / 120 W adapter
Inertial Measurement Unit (IMU)
- Sampling interval: from 1 s/sample to 4 ms/sample
- Operating temperature: -40 °C to 85 °C
Accelerometer
- Maximum acceleration measurement: ± 2.5 g
- Acceleration measurement resolution: 10 μg
Gyroscope
- Maximum gyroscope rate (X axis, Y axis): ± 125°/s
- Gyroscope resolution (X axis, Y axis): 1E-05°/s
Magnetometer
- Maximum magnetic field: ± 49.2 G
- Magnetometer resolution: 1.5 mg
Software
- Installation of all ROS/ROS 2 drivers so that the kit is plug and play
Options on request
- Software development kit for autonomous navigation
The kit is resistant to light rain.
Resources for the Ranger Mini 3.0 + ROS 2 R&D Kit bundle
This turnkey pack combines the AgileX Ranger Mini 3.0 UGV and the GR Lab ROS 2 R&D Kit so you can start with zero integration. Go straight to development.
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