for Robotics

Precision Hand Data for Humanoid Robotic Hand

Teleoperation, Robotic manipulation, and machine learning

AI Robotics Training

Scalable Learning with MANUS Gloves for Robotics

Train dexterous robot hands using MANUS gloves, engineered for ultra-precise finger tracking and real-time motion capture. These gloves for robotics generate high-resolution motion data in CSV format for seamless integration into machine learning pipelines—enabling the development of human-like grasping and manipulation behaviors.​​

  • Effortless AI Model Integration
  • Precision Demonstration for Robot Learning
  • Optimized Dexterous Data for Machine Learning Algorithms
See integration details
csv exportfbx export

Teleoperation & Remote Control​

REAL-TIME ROBOTICS INTEGRATION WITH ROS & SDK

Control robots remotely using robotic gloves with real-time data streaming to ROS (Robot Operating System). MANUS’ finger-tracking gloves for robotics offer unmatched motion fidelity. The C++ SDK (Windows/Linux) allows full customization for AI-driven robotic systems.

  • Ultra-Low Latency Data Streaming
  • Full Control Over Data Pipelines​
  • Cross-Platform Compatibility​
See integration details
ros robotics operating systemc++ sdklinux sdk

Recommended Products

  • Highest Fidelity Finger Tracking
  • Available with MOCAP or XR license
  • Swappable Batteries
  • Quick & Easy Setup
  • High Fidelity Finger Tracking
  • Available with MOCAP or XR license
  • Swappable Batteries

Use Cases

What's Next?