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Bunker Mini 2.0 Pack + ROS 2 R&D Kit
| A-000000-07934
Price upon request
This Bunker Mini 2.0 pack with ROS 2 R&D kit is ready to use and lets you quickly start your autonomous navigation and SLAM projects.
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Bunker Mini 2.0 + ROS 2 R&D Kit: a turnkey platform for your experiments
Start your work in autonomous navigation, SLAM and perception without going through a long assembly phase. This pack combines the mobile base AgileX Bunker Mini 2.0 and the ROS 2 R&D Kit developed by our GR Lab (engineering office of Génération Robots).
On delivery, the platform is already integrated and configured: you power the robot, switch it on… and you can immediately start developing. The Ubuntu + ROS 2 environment is installed, the main sensors are preconfigured and remote access via VNC is available to monitor the system in just a few clicks.
Why choose this pack?
- Drastically reduce integration time for mechanics, electronics and software.
- Limit the risk of hardware or software incompatibilities.
- Quickly start your tests with ROS 2 (navigation, SLAM, vision, 3D perception…).
- A single technical point of contact for integration and support: GR Lab.
What you get
1) Mobile base: AgileX Bunker Mini 2.0
The Bunker Mini 2.0 is a compact tracked UGV designed to operate in demanding environments, both indoors and on a variety of outdoor terrains. Its robust metal chassis withstands shocks, dust and splashes, while its tracked drive ensures excellent traction and high stability, even at low speed.
- Chassis: full-metal body, robust industrial architecture.
- Drive: two gear motors driving the tracks for smooth, controlled thrust.
- Protection: dust- and splash-proof design, suitable for field environments.
- Mobility: tracked platform for uneven ground, ramps, gravel, grass or industrial floors.
- Agility & performance:
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.
3) Add the PiPER robotic arm
We offer, as an option, the addition of the PiPER robotic arm from AgileX Robotics on our ROS 2 R&D bundles based on AgileX mobile platforms.
This configuration makes it possible to combine mobile navigation and manipulation, ideal for prototyping complete mobile–manipulator robotics scenarios (object grasping, interaction with the environment, testing advanced algorithms, etc.).
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
- Bunker Mini 2.0 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 Bunker Mini 2.0 + ROS 2 R&D Kit Pack
Bunker Mini 2.0
- Dimensions: 660 x 584 x 340 mm
- Height: 65,5 mm
- Track width: 100 mm
- Weight: 55 kg
- Max. working load: 35 kg
- Max. speed: 0 ~ 1 m/s
- Climbing capacity: 30° (no load)
- Min. turning angle: 0°
- Max. obstacle height: 120 mm
- Operating temperature: -20 ~ 60°C
- External power supply: 24 V/15 A
- Drive power:
- Independent drive on left and right sides
- Differential drive depending on terrain type
- Motor: 250 W x 2 (brushed DC motors)
- Rated torque: 15 Nm
- Magnetic encoder 1024 lines
- Communication interface: CAN
- Protection rating: IP67
- 24 V 30 Ah lithium battery
- AC 220 V charger
- Charging time: 3–4 h
- CE certified
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 x 400 x 220 mm
- Weight: ~ 10 kg
System integration (choice)
- ROS1 Noetic & Ubuntu 20.04
- ROS2 Humble & Ubuntu 24.04
GPS localisation system
- ZED-F9P: centimeter level precision (RTK compatible)
Onboard computer
- Model: Asus NUC 15 Pro
- Dimensions: 117 × 112 × 37 mm
- Processor: Intel Core Ultra
- RAM: 16 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: 1 s/sample to 4 ms/sample
- Operating temperature: -40 °C to 85 °C
Accelerometer
- Max. acceleration measurement: ± 2.5 g
- Acceleration measurement resolution: 10 μg
Gyroscope
- Max. gyro rate (X, Y axes): ± 125°/s
- Gyroscope resolution (X, Y axes): 1E-05°/s
Magnetometer
- Max. magnetic field: ± 49.2 G
- Magnetometer resolution: 1.5 mg
Software
- Installation of all ROS/ROS2 drivers so 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 Bunker Mini 2.0 Bundle + ROS 2 R&D Kit
This Bunker Mini 2.0 pack with ROS 2 R&D kit is ready to use and lets you quickly start your autonomous navigation and SLAM projects.
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