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AI 機器人智慧應用
Robotics & Embodied AI

Redefining the Future of Robot Learning

Driven by the swift rise of smart manufacturing, service robotics, and humanoid manipulators, the ultimate industry challenge is clear: how to empower robots to perceive, learn, and act just like humans.

Core Technology: The Four Pillars of Embodied AI

Teleoperation 

Combines tactile haptic gloves with immersive headsets to collect human teleoperation demonstration data in real time.

NVIDIA Isaac Sim

Leverages high-fidelity physics-based synthetic data generation to accelerate Sim-to-Real transfer for reinforcement learning and vision models.

Millimeter-Level Precision

Tracks and annotates robot joints and environmental objects, utilizing high-precision motion capture data from XSENS and MANUS for robot training.

VLA Model Validation

Integrates Vision-Language-Action foundation models to enable closed-loop control of dual-arm humanoid motion via natural language commands.

Core Application Modules for Embodied AI

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Precise Motion Capture Authentic Human Realism

Combining MANUS Metagloves with Movella Xsens motion capture and Tesollo dexterous hands, we deliver a comprehensive human-robot interaction and AI training solution. Through real-time human data collection and high-precision control, natural human movements are seamlessly transformed into intelligent robotic behavior.
Capturing high-precision finger movements with MANUS Metagloves and streaming real-time data to ROS/SDK for seamless control of robotic hands and manipulators.

Wear the Xsens motion capture system to track full-body movement for teleoperation. Real-time data is streamed directly to the robot and fused with its sensory inputs to train AI and deep learning models.

AI-Assisted Acceleration of Robot Intelligence. Through human demonstrations, AI learns operational logic from massive datasets and deconstructs complex behaviors into repeatable commands. This enables the AI to automatically adapt actions across different scenarios, enhancing consistency and efficiency.

Executing Actions with Tesollo Dexterous Hands​. High-precision finger motions are captured by MANUS Metagloves and streamed to ROS. After data parsing and transformation, ROS sends the commands to Tesollo dexterous hands for real-world execution.

MANUS VR Gloves:次毫米級手指追蹤,支援 ROS 與多種資料輸出格式。

Movella Xsens:高可靠度全身動作捕捉,完整呈現人類的姿態、速度與動態。

Motion Capture with Xsens
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MANUS Applications
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AI Applications
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