Built for embodied data collection centers
Precise data capture, reliable model training
The iNexBot embodied controller (the "cerebellum") — native ROS 2 ecosystem + teleoperation data collection + force and admittance/impedance control, delivering real-robot demonstration data to your VLA training pipeline in real time and with high fidelity.
iNexBot Embodied Controller
The brain understands; the cerebellum executes. Positioned beneath perception and decision-making yet above the actuators, the iNexBot embodied controller translates the large model's "intent" into stable, safe, and engineering-ready joint motion.
Hard Real-Time
Ubuntu + PREEMPT-RT kernel with deterministic control cycles, providing a stable time base for high-bandwidth closed-loop control.
Multi-Platform
One runtime loads different JSON robot models, adapting to humanoids / 6–7 axis arms / SCARA / mobile bases.
Teleoperation Data Collection
High-frequency state feedback + teleoperation teaching produce real-robot datasets for VLA / policy-learning training, closing the "collection → training → deployment" loop.
Force & Admittance/Impedance Control
Force-controlled joints + admittance/impedance control enable compliant interaction, contact-rich tasks, safe human-robot collaboration, and force guidance during collection.
Open Ecosystem
Native ROS 2 + MoveIt 2 + vision + HMI (Modbus), with no vendor lock-in.
Safety Foundation
STO + emergency stop + safety PLC support, engineered for field deployment and mass-production safety certification.
No lock-in — natively at home in ROS/ROS2
Your embodied team most likely runs on ROS 2. The iNexBot embodied controller natively aligns with the ROS/ROS2 ecosystem — plug straight into your existing perception, navigation, and learning stack without changing your workflow.
Native ROS 2 Workspace
Standard nodes / topics / services / interfaces, plugging seamlessly into your existing embodied and simulation stack.
MoveIt 2 Integration
Planning and execution out of the box, with custom kinematics / dynamics libraries.
Perception & Navigation
Connect standard ROS 2 drivers for vision, lidar, IMU, and nav2.
Data Format Alignment
Native ROS 2 bag recording drops straight into your VLA / policy-training pipeline.
Multi-Robot Coordination
Standard distributed communication supports parallel collection across multiple robots in a data center.
Examples & Getting Started
Example packages + quick-start docs lower integration costs.
The brain does not replace the cerebellum
VLA answers "what to do", but "how to stay stable, how to stay safe, how to scale to production" is the controller's battlefield — the foundation of our differentiated competition with pure-AI companies.
Neutral & Open
The Magna model: no allegiance to any robot-body vendor — we deliver control capability as an open module to robotics partners.
From Prototype to Production
Running in the lab doesn't count — the controller must hold up under line takt, safety certification, and long-term stability.
Application Scenarios
Humanoid Robots
Whole-body motion coordination, gait stability, and hybrid force-position control.
Embodied Manipulation
High-frequency closed loop, trajectory tracking, and compliant control for manipulation learning.
Embodied Data Collection
Teleoperation teaching captures real-robot demonstration data, recorded at high frequency and fidelity, output aligned to VLA training formats.
Mobile Manipulation
Mobile base + robotic arm working in concert.
From Collection to Training: The Controller as a Data-Production Device
Data is the fuel of embodied intelligence. The iNexBot embodied controller is both an executor and a data-production device.
Force-controlled joints + admittance/impedance control make data collection more compliant and safer, and human-robot collaboration closer to real-world operation.
Open to Developers
SDK / API
Download portal + docs links for fast secondary development.
Robot Models
Defined via JSON config files; custom kinematics / dynamics via dynamic libraries (.so).
Getting Started
Example code + getting-started docs to lower integration costs.
The Next Step for the Embodied Controller
2026 → 2027 direction: reflecting the "cerebellum's" sustained investment in the embodied-intelligence ecosystem, echoing the 1+1+N strategy — embodied intelligence is an extension of our core capability, not a separate endeavor.
Ready to give your robots a robust cerebellum?
Contact our sales team for embodied controller solutions and live demonstrations.
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