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j-mex V100R plus AgileMaster|Humanoid Teleoperation Solution

j-mex V100R plus AgileMaster|Humanoid Teleoperation Solution

$8,800.00
Shipping calculated at checkout.
  • Professional Precision: Features 15 nine-axis IMU sensors with integrated high-precision finger capture for detailed motion mapping.
  • Real-Time Performance: Delivers a 100 Hz data output rate, ensuring millisecond-level synchronization for teleoperation and imitation learning.
  • Industrial Stability: Designed with an advanced transponder architecture to provide stable, low-latency data streaming in demanding environments.
  • Seamless Integration: Native support for ROS2 (Humble and Jazzy), NVIDIA Isaac Sim, and URDF importing for rapid deployment across humanoid and cobot platforms.

From Human Motion to Digital Intelligence

Built for teleoperation and real-world robot training, the j-mex IMU MoCap Platform delivers high-fidelity human motion data for Isaac GR00T workflows, imitation learning, and Physical AI development.

Accelerating Physical AI and Humanoid Robotics

j-mex AgileMaster is a humanoid teleoperation solution that combines high-precision full-body motion capture with Human-to-Robot mapping technology, enabling real-time teleoperation, simulation workflows, imitation learning, and digital twin integration.

Built for next-generation humanoid robotics and Physical AI development, AgileMaster helps developers rapidly generate real-world robot training data and accelerate the transition from simulation to real-world deployment.

Real-Time High-Fidelity Data Source

The Problem:
Most traditional mocap systems only track end-effector poses, resulting in incomplete data that falls short for complex Embodied AI tasks.

Parameterized Joint Structure Mapping

The Problem:
There’s a significant physical and structural gap between human motion data (Avatar Motion) and robot motion control (Robot Motion). Traditional workflows consume extensive time on manual conversion or custom development.

Simplified Cobot & Manipulator Setup

The Problem:
Traditional setup requires programming or graphical editing, followed by observing robot arm test runs, then iterating on adjustments and path optimization.

j-mex AgileMaster
Humanoid Teleoperation Solution Operational Architecture

MoCap Suit V100-R Plus sensor specs

Sensor hub (x2) Weight : 8g, Dimension : Ø1.65 inches(42mm) * 0.35inches(9.12mm)
Sensor unit (x12) Weight : 3.8g, Dimension : Ø1.26 inches(32mm) * 0.26inches(6.64mm)
Operating temperature range 32°F ~ 122°F(0°C ~ 50°C)
Tracker 15 calibrated 9-axis IMU-based sensors
Dynamic accuracy ±2°
Angular accuracy Rounding to the 2nd decimal place
Data output rate 83Hz
Streaming data rate 83Hz

MOXI sensor

Sensor 1 calibrated 9-axis IMU-based sensors
Sensor Battery Capacity 120mAh, > 4.5Hrs
Operating temperature 32°F ~ 122°F(0°C ~ 50°C)
Wireless Communication Bluetooth
Dynamic accuracy ±2°
Dimension & Weight 37 x 37 x 10mm,13g
Button Power switch
Data Output & streaming data rate 100Hz

Transponder 1.0

Battery Li-polymer, 2,000mAh
Battery run time > 4 Hrs
Water resistance Class IPX5
Wi-Fi Dual band, Wi-Fi 4, Wi-Fi 5 or Wi-Fi 6
Connector Water proof
Bluetooth Support Low Energy, Bluetooth v4.1 or above
Dimension & Weight 60.2 x 76.8 x 19.2mm, 75 grams
Button Power switch
Indicator Battery Capacity, PC/Network Connection, Top connection, Pants connection

Software

MOXI Player (for Robot) Platform: Windows 10, 11 MOXI SDK / URDF Importer/ Bone Mapping / Retargeting
* MOXI Receiver (for Robot) in ROS2 For Ubuntu (Linux) 22.04/24.04 * MOXI Receiver (for Robot) in Python Supports NVIDIA Isaac SIM / Lab For ROS 2 Humble and Jazzy editions on Linux
MOXI Robot Editor Platform: Windows 10, 11 Initial pose setting / Controller position setting / Merge URDF

App

TransEZ App (Android, iOS) For transponder configuration and management

Windows system requirements

CPU Intel® Core™ i7-13620H
Memory 16GB or above
Graphics NVIDIA® GeForce RTX™ 4060 (Recommended)

FAQ

How is MOXI Robot Engine different from standard motion capture systems?

Traditional mocap systems output human skeletal data. j-mex AgileMaster includes our proprietary Motion Retargeting algorithm that directly outputs robot-ready joint signals (orientation and motion) via ROS2 protocol — no extra conversion tools required.

What types of robots does it support?

Out-of-the-box support for several mainstream Humanoid robots and Cobot Arms, with built-in skeleton topology switching. You can also import custom Robot URDFs.

 Does it support NVIDIA Isaac Sim?

Yes! j-mex is an NVIDIA Omniverse Ready Partner. j-mex Teleoperation Starter Kit can stream motion data directly to Isaac Sim/Lab — not only for control simulation, but also for integration with GR00T Mimic pipeline or VLA training flow.

Fast Delivery

Shipping is free for orders over 300USD. For items in stock, the delivery time is 3-5 days.

Product returns

We offer returns and exchanges within 30 days of receipt of the shipment.

1-Year Warranty

Unmatched Peace of Mind with Our Reliable 1-Year Warranty.