for Robotics

High Precision Hand Tracking for Dexterous Manipulation

Egocentric Data collection, Teleoperation, and simulation-based policy training

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 2 & SDK

Control robots remotely using robotic gloves with real-time data streaming to ROS 2 (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

  • Full anatomical hand tracking with 25 DoF
  • Fingertip sensor data support
  • Occlusion-free tracking with zero drift
  • Detachable top module enabling flexible, multi-user workflows
  • Swappable batteries for uninterrupted work sessions
  • Real-time vibrotactile feedback to signal object interaction
  • Full anatomical hand tracking with 25 DoF
  • Fingertip sensor data support
  • Occlusion-free tracking with zero drift
  • Detachable top module enabling flexible, multi-user workflows
  • Swappable batteries for uninterrupted work sessions
  • High precision hand tracking
  • Convincing pinching and other fine fingertip interactions
  • Swappable batteries for uninterrupted work sessions
  • Requires external linear gloves, sleeves, or finger tapes

Robot Hand Options

Use Cases

What Our Clients Say

After comparing IMU, optical, and vision-based solutions for our robotic foundation model development, MANUS gloves delivered the most reliable and robust performance.

★★★★★

Xuguo He
R&D head at DeepCybo

I almost can't believe how good this tech is.
It feels like magic.
10/10 reaction speed,
10/10 accuracy,
10/10 ease of use,
12/10 aesthetics.

★★★★★

Daniel von Eschwege
Founder at PsyTechArt Inc.

MANUS data gloves make it easy to showcase how naturally our dexterous hand platforms can be controlled, helping demonstrate the potential of human-level manipulation.

★★★★★

Avtar Mandaher
Co-founder & CTO at Sarcomere Dynamics

We really enjoy using MANUS products, as they allow us to demonstrate intuitive motion to a variety of clients with high satisfaction.

★★★★★

Sun-Myung Kim
R&D Team Chief at Tesollo Inc.

MANUS gloves pair beautifully with the PSYONIC Ability Hand, providing intuitive, high-fidelity teleoperation. I even used them for my Doc Akh costume—they were awesome!

★★★★★

Dr. Aadeel Akhtar
Founder & CEO at PSYONIC

MANUS' solution to quality hand gesture data capture is elegant, which only comes from years of understanding and trial and error. It's ready to scale.

★★★★★

Dr. Scott Walter
Chief Technology Advisor at Visual Components

I can say with high confidence, this is by far the best product when it comes to robot hand teleoperation.

★★★★★

Anas Houssaini
McGill University, Canada

The precision, responsiveness, and sense of immersion of MANUS gloves completely redefine what motion capture can feel like.

★★★★★

Mathew Mozaffari
CTO at Grata

MANUS gloves provide excellent control of dexterous robot hands, delivering precision and data quality that outperform vision-based approaches.

★★★★★

Dr. Li Wangwei
Co-founder & CTO at Dexcel Robotics

MANUS gloves will be used in ways we can't even imagine yet. It feels like a digital Swiss army knife, bridging the human machine divide.

★★★★★

Jesse Velez
Founder & FX Designer at Raptor House FX

What's Next?