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Robotics, AI & Machine Learning

Hand & finger data for robotics.

Advanced tech companies are developing robots to solve complex issues such as drastic labor shortages and the high number of workers in unsafe jobs. The Quantum Tracking Technology allows you to capture even the most subtle nuances and utilize this data for training your robots and allow for telepresence by controlling robotic hands in real-time. In this side-by-side comparison, you can see the precision of the raw hand data from our Quantum Metagloves.

Integrations you can build on.

Stream live data directly to ROS and start controlling your robot. Develop your own integration with our C++ Windows and Linux SDK for custom pipelines. Record & Export finger data as CSV to simplify your training and data pipeline.

Read more about our SDK and CSV functionality.

Make robotic hands move in real-time.

The MANUS™ Linux-supported SDK revolutionizes humanoid robotics development by offering platform flexibility, seamless integration with Robot Operating Systems (ROS), and access to a wider community of developers and researchers familiar with Linux environments.

While developers may still require a Windows machine to run the Core software for glove pairing, the SDK's compatibility with Linux, particularly Ubuntu versions 22.04 and 20.04, empowers users to harness the robustness, scalability, and accessibility of Linux for creating innovative hand motion capture solutions.

CSV Data: Fueling ML and Robotics

CSV, as a file format, simplifies the process of handling data for machine learning and robotics applications by offering a straightforward way to export and transform data. Alongside alternatives like ROS and SDKs for Windows and Linux in C++, CSV provides a user-friendly option for recording and processing data within pipelines. Its ease of use streamlines the transition from raw data to meaningful insights, enhancing efficiency and effectiveness in data utilization for various purposes, from algorithm training to robotic control.

Hand & finger data for robotics.

Advanced tech companies are developing robots to solve complex issues such as drastic labor shortages and the high number of workers in unsafe jobs. The Quantum Tracking Technology allows you to capture even the most subtle nuances and utilize this data for training your robots and allow for telepresence by controlling robotic hands in real-time. In this side-by-side comparison, you can see the precision of the raw hand data from our Quantum Metagloves.

Train your robot with precise hand data.

Robots are not capable of thinking on their own. To let robots operate autonomously, humans need to program them, so they know how to move and when to perform a specific movement.

MANUS Quantum Metagloves are used by these companies to perform movements and tasks in real life, and utilize the high-precision finger data from the Metagloves to program the robots.

Control robotic hands in real-time.

The high-precision Quantum Metagloves can manipulate robotic hands in real-time. The ability to remotely pilot robots in dangerous situations will prevent a lot of accidents in the future. Specialists can perform tasks from anywhere, without having to be there in person. This, together with autonomous robots, would ease the drastic labor shortages and will bring new opportunities.

Quantum tracking

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