AgileX OPEN NERO
- SKU: MBS-AGX-38
- GTIN: 05390368407180
- Category: Robot Arms
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Manufacturers:
AgileX OPEN NERO
- Two 7-DOF arms with grippers, teleoperation via master arms
- Multimodal data collection with 3 depth cameras
- Recording in MCAP and LeRobot
- Industrial PC with Ubuntu 22.04 and ROS 2 Humble
Description
AgileX OPEN NERO – bimanual teleoperation platform for robot learning and embodied AI
The AgileX OPEN NERO is a dual-arm platform for bimanual teleoperation and multimodal data collection. Two NERO robotic arms with 7 degrees of freedom each are mounted on a compact stand and are guided intuitively by hand via two universal master arms – ideal for recording demonstration data for robot learning and embodied AI research.
Three depth cameras (Orbbec DaBai DC1) capture the scene from head and wrist perspectives. RGB and depth images, joint angles, end-effector poses and gripper width are recorded synchronously and saved directly in MCAP and LeRobot formats.
An industrial PC running Ubuntu 22.04 and ROS 2 Humble is already integrated. Data collection is managed via a clear web interface, and ROS 2, ROS and Python are available for custom development. Thanks to its compact desktop design, the platform is quick to set up and flexible to deploy.
Features
- Two 7-DOF NERO arms with parallel grippers for bimanual tasks
- Teleoperation via two universal master arms
- Multimodal data collection: RGB, depth, joint angles, end-effector pose and gripper width
- Synchronised recording in MCAP and LeRobot formats
- Three Orbbec DaBai DC1 depth cameras
- Integrated industrial PC with Ubuntu 22.04 and ROS 2 Humble
- Web interface for managing data collection
- Compact desktop design for quick setup
Technical data
| Degrees of freedom | 7 per arm |
| Payload | 3 kg per arm |
| Reach | 580 mm per arm |
| Repeatability | ±0.1 mm per arm |
| Weight | 4.8 kg per arm |
| Gripper width | 0–100 mm |
| Depth camera | Orbbec DaBai DC1 (3×) |
| Onboard PC | Intel Core i5-12450H, 8 GB DDR4, 2 TB SSD (expandable) |
| Data modalities | RGB, depth, joint angle, end-effector pose, gripper width |
| Data formats | MCAP, LeRobot |
| Operating system | Ubuntu 22.04 LTS, ROS 2 Humble |
| Software support | ROS 2, ROS, Python, LeRobot |
Applications
- Training data collection for robot learning and imitation learning
- Embodied AI research
- ROS 2 development
- Teaching and research in bimanual manipulation
Scope of delivery
- 2× NERO robotic arm (7 DOF)
- 2× gripper
- 2× universal master arm
- 1× stand
- 3× Orbbec DaBai DC1 depth camera
- 1× industrial PC
| Item information | Value |
|---|---|
| Shipping weight: | 50,00 kg |
| Item weight: | 25,00 kg |
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