MG Super Labs
OPEN NERO Bimanual Teleoperation Platform
Description
A dual-arm platform powered by two 7-DoF robotic arms that enables bimanual teleoperation and multimodal data collection for robot learning and embodied AI research.
Core Applications
Robot Data Collection
Capture high-fidelity, multimodal datasets critical for training next-generation robotic models.
ROS 2 Development
Fully compatible with modern robotic middleware, enabling rapid prototyping and seamless integration.
Embodied AI Research
Provide a physical testing ground for algorithms bridging computer vision, machine learning, and physical manipulation.
Platform Highlights
Multimodal Data
Synchronized RGB, depth, joint states & poses with native support for MCAP and LeRobot formats, ensuring high-quality inputs for learning pipelines.

Smooth Setup
Compact desktop design optimized for quick setup and flexible deployment across various laboratory and workspace environments.

Easy-to-use Web Interface
Manage complex data collection tasks through a unified web interface featuring intuitive controls and real-time monitoring.

Technical Specifications
| Degrees of Freedom (DoF) | 7 (Per Arm) | Weight | 4.8 kg (Per Arm) |
|---|---|---|---|
| Payload Capacity | 3 kg (Per Arm) | Gripper Width | 0–100 mm |
| Maximum Reach | 580 mm (Per Arm) | Repeatability | ±0.1 mm (Per Arm) |
| Depth Camera | Orbbec DaBai DC1 | ||
| Onboard PC Compute | Intel i5-12450H, 8 GB DDR4 + 2 TB SSD (Expandable) | ||
| Operating Systems | Ubuntu 22.04 LTS, ROS 2 Humble | ||
| Supported Data Formats | MCAP; LeRobot | ||
| Data Modalities | RGB / Depth / Joint Angle / End-Effector Pose / Gripper Width | ||
Included Components