Physical AI Mobile Manipulation Systems combine autonomous mobility and robotic manipulation to enable advanced robotics data collection in real-world environments. To support this need, Nferent AI provides mobile manipulation platforms and Universal Manipulation Interface (UMI) systems designed specifically for embodied AI data collection, egocentric teleoperation, and large-scale robot learning. Furthermore, these advanced setups capture teleoperation trajectories, multi-modal sensor data, and arm and base coordination. By seamlessly recording end-effector motion alongside environmental context, they effectively fuel Vision Language Action (VLA) models, humanoid data collection, world models, and sim-to-real learning for next-generation Physical AI applications.
Hardware Types
Common types and variants within this category
FastUMI Pro
AgileX Robotics Pika
Compact mobile manipulation platforms
Teleoperation systems
Data Captured
Types of data collected using this hardware
Teleoperation trajectory
Multi-modal sensor data
Arm + base coordination
Real-world manipulation tasks
Environmental context
Human demonstration
Task completion metrics
Sensor fusion data
Typical Parameters
Key parameters captured in datasets
Mobile base pose (x, y, θ)
Arm DOF (typically 6-7)
End-effector trajectory
Environment mapping
Synchronization timestamps
Teleoperation latency
Sensor data rate (Hz)
Task duration
Dataset Capture Example
Capture real-world manipulation tasks with mobile base and arm coordination through teleoperation.
Key Features:
Synchronized sensors
High-quality calibration
Real-world scenarios
Complete metadata
Example Use Cases
Industries and applications using this hardware
Robotics research
AI labs
Data capture labs
Imitation learning
Real-world deployment
Scalable data collection
Featured Hardware
Hardware Options
Explore recommended hardware products in this category for your data collection needs
FastUMI Pro
High-speed mobile manipulation platform with integrated teleoperation capabilities.
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