Humanoid Robotics & Embodied AI Motion Capture Solutions

Humanoid Robotics & Embodied AI Solutions

IIIS, Tsinghua University | Project Instinct A whole-body control toolchainto study Instinct-Level intelligence

Robot Dataset Collection & Generation

Capture human motions and interactive behaviors in real task scenarios. Synchronize multi-source data including poses, video, force feedback and task results to build standardized training datasets for robot imitation learning

NOKOV Cap

Sub-millimeter Accuracy

Optical and inertial fusion tracking delivers sub-millimeter positioning accuracy and 0.1° angular precision for high-fidelity motion recording.

Multi-Agent & Multimodal

Simultaneously capture humans, tools and robots, synchronizing video, force, EMG and other sensor data for full-scene perception.

Real-Time Data Streaming

Fully compatible with ROS/ROS2, VRPN and SDK interfaces to seamlessly connect with simulation and robot control platforms.

Flexible Deployment

Support both marker-based and AI markerless solutions, adaptable from laboratory environments to large-scale operation scenarios.

High-Quality Dataset

Provide 1,000+ hours of cleaned human motion data with 100,000+ high-quality samples for AI and robot algorithm training.

Stanford University | Precise Performance by a Virtual Guitarist

Dexterous Manipulation & Demonstration Learning

Capture high-fidelity hand, finger, and tool interaction data during real-world task execution. Generate demonstration datasets for robot learning, enabling humanoid robots and embodied AI systems to acquire dexterous manipulation skills through human demonstrations.

NOKOV Capabilities

Precise Hand & Finger Tracking

Capture fine-grained hand, finger, and object movements with high spatial accuracy.

Human-Object Interaction Capture

Record coordinated interactions among hands, tools, and manipulated objects.

Multimodal Demonstration Data

Synchronize motion capture with video, force, tactile, and other sensor data.

Robot Learning Ready

Generate structured datasets for imitation learning, LfD, and policy training.

Real-Time Integration

Seamlessly connect with robot control, simulation, and training platforms.

School of Robotics, Wuhan University | Humanoid Robot Kung Fu Training

Robot Training & Motion Learning

Leverage high-quality motion data to train robots for locomotion, manipulation, and whole-body coordination. Support imitation learning, reinforcement learning, motion policy optimization, and embodied AI model development.Support foundation model training and large-scale robot learning.

NOKOV Capabilities

High-Fidelity Motion Data for Training

Deliver precise whole-body motion capture data to fuel robot algorithm training.

Human-to-Robot Motion Retargeting

Convert captured human motions into executable robot movement commands.

Simulation Platform Integration

Connect smoothly with mainstream simulation environments for iterative policy tuning.

Reinforcement Learning Support

Provide standardized motion samples to accelerate reinforcement learning iteration.

Graduate School of Engineering Science, Osaka University | Human-Robot Collaboration and Teleoperation of Cobots

Teleoperation & Human-in-the-Loop Learning

Remap human full-body, upper-body, and hand movements to target robots in real time, enabling real-time motion following, remote operation, and online demonstration learning.

NOKOV Capabilities

Real-Time Motion Tracking

Ultra-low latency motion capture and real-time data streaming ensure that every operator movement is instantly reflected by the robot, enabling responsive and intuitive control.

Support for Mainstream Humanoid Robot Platforms

Compatible with URDF models of mainstream humanoid robots and capable of customized integration and development for specific robot platforms.

Real-Time Robotic Mirrored Behavior of Facial Expressions and Head Motions Based on Lightweight Networks

Motion Analysis & Sim-to-Real Validation

Evaluating control accuracy requires quantitative error metrics to identify and localize issues across algorithms, mechanical systems, control strategies, simulation platforms, or learning frameworks within R&D workflows.

NOKOV Capabilities

Sim-to-Real Closed-Loop Validation

Build quantitative comparison between simulated and physical robot data; feed field data back into training models. Supports position/velocity/acceleration comparison and user-defined evaluation benchmarks.

ShadowEngine | Valid
Sim-to-Real Closed-Loop Validation System

Robot Benchmarking & Performance Testing

Quantitatively test robot factory performance, repeatability, trajectory accuracy, gait stability, anti-interference ability, and task execution. Provides stable, reproducible data for internal QC, customer acceptance, performance reports, and product benchmarking.

NOKOV Capabilities

General-purpose Robot Motion Evaluation Platform

Solves consistency challenges in mass robot production, delivering standardized, repeatable motion testing and industry benchmark solutions.

Hangzhou Feikuo Technology Co., Ltd. | Group Dance of Humanoid Robots

Robot Demonstration & Live Performance

Provides motion capture or real-time driving for scenarios such as robot dance, Tai Chi, exhibition interactions, press conference demos, video content, and cultural performances. It enables fast deployment, stable on-site operation, and rapid generation of natural and visualizable robot motion content.

NOKOV Capabilities

Mainstream Robot Fast Adaptation

Adapts to mainstream robots such as Unitree and AgiBot through self-developed retargeting and training models, supporting customized scenario-oriented development.

High-fidelity Embodied Motion Reproduction

Supports avatar-style remote control for walking, running, jumping and diverse movements. Delivers low-latency, high-fluidity robot motion reproduction for exhibition and commercial scenarios.

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Discover the Mars Series, featuring industry-leading frame rates and ultra-high resolutions. Perfect for advanced motion tracking and measurement in various fields.