This approach has enabled reliable deployments in active commercial environments and is building a growing library of reusable skills that strengthens with every new demonstration.
Read the full success story: www.manus-meta.com/use-cases/ar...
Posts by MANUS™
These high-fidelity demonstrations allow robots to learn new skills in hours instead of weeks while adapting to real-world variations in object size, weight, and placement.
Using MANUS data gloves, Artly AI captures millimeter-accurate hand motion from world-class professionals, including the subtle movements behind high-end latte art.
Robots often struggle with real-world manipulation, where human-level precision is essential. @artlycoffee.bsky.social tackles this challenge with its Trade School for Robots, a system where expert demonstrations become scalable robot skills.
We’re excited to see our gloves being used in groundbreaking research at Target 3D Iberia's lab in Valencia.
www.youtube.com/watch?v=cNuU...
The result: a powerful step toward fully dexterous humanoid #robotics. Learn more in the case study below. 👇
www.manus-meta.com/use-cases/ro...
Through ROS2 integration and a custom retargeting layer, each finger movement translates seamlessly from glove to robotic hand, enabling natural teleoperation and precise manipulation.
As robotics moves closer to true human-machine collaboration, dexterous control becomes essential.
ROBOTERA’s XHAND1, a 12-DoF robotic hand designed for precision manipulation, integrates Metagloves Pro to achieve intuitive, low-latency control and collect high-quality motion data for embodied AI.
In testing, the system successfully performed complex in-hand manipulation tasks, demonstrating a new benchmark for intuitive teleoperation and data fidelity in #robotics research. Check out the full study.
Using this setup, operators could intuitively control both the robotic arm and hand, achieving biomimetic dexterity and capturing high-quality motion data for imitation learning.
The team developed an advanced hand-arm system, combining:
• A 20-DoF anthropomorphic robotic hand for humanlike precision
• A FRANKA Robotics FR3 arm
• MANUS Quantum Metagloves for real-time, high-resolution hand tracking
A recent study by ByteDance Research highlights how the Manus Quantum Metagloves empower natural, high-fidelity teleoperation for robotic hands.
arxiv.org/html/2507.03...
How is Alt-Bionics bringing human-like control to prosthetics? 🤖
Read the full use case here: www.manus-meta.com/use-cases/al...
Have you ever seen a robot fold origami? 🤖
Check out this amazing Tesollo demo featuring MANUS gloves at #CoRL2025! 🦾
If you’re in Seoul, come see us at #Humanoids2025 in booth number A16! We’d love to meet up. 👋
Counting down to @ieeeras.bsky.social #Humanoids2025 in Seoul! 🦾
We’ll be showcasing how MANUS data gloves enable real-time control and interaction with humanoid robots — turning research into reality. #robotics #humanoidrobotics
His advice to other entrepreneurs: choose the right protection tools for the right goals, and remember that getting a patent is just the start — maintaining it, choosing regions, and enforcing it are ongoing commitments.
He describes how MANUS makes data gloves with built-in sensors to capture human movement for industries where human interaction needs to be digitized. While still a niche product, MANUS is the market leader in its segment and expanding into more markets.
To summarize, in this interview, MANUS CTO & Co-Founder Maarten Witteveen explains why intellectual property (IP) strategy is essential for any tech company — investors always ask about it, and you need a solid answer.
Watch the full interview (Dutch) to learn more about our approach to innovation and the role of intellectual property in bringing groundbreaking customer projects to life. You can also find a quick summary in English below.
In a new Financing & Intellectual Property series, the Netherlands Enterprise Agency (RVO) sat down with our CTO & Co-Founder, Maarten Witteveen, to discuss how MANUS technology supports breakthroughs in robotics, motion capture, XR, and more with industry-leading data gloves.
Protecting innovation starts with protecting the ideas behind it.
We’re looking forward to IEEE RAS #Humanoids2025, where the latest advancements in humanoid robots and machine learning come to life!
📅 30 Sep – 2 Oct
📍 COEX Convention & Exhibition Center, Seoul
#robotics
Today’s the day!
We’re at IEEE #Telepresence2025 in Leiden. Join us for a hands-on session where you’ll learn what it takes to design next-generation telepresence gloves with our experts Mauricio Sandoval and Martijn van der Linden.
Stop by, ask questions, and see our tech in action!
If you’re attending, let’s meet! Drop us a message or find Romain at the event to learn more about how precision interaction tools can make a difference in your work.
📍 Eindhoven University of Technology – Auditorium Building
📅 25–29 August 2025
Our very own Romain will be there to connect, share insights, and talk about how MANUS’ advanced data gloves are shaping the future of #robotics, #motioncapture, and human-machine collaboration.
Heading to #IEEE RO-MAN 2025? So are we! 🤖
This conference will bring together leading experts and innovators in Human-Robot Interaction — exploring cutting-edge research, technologies, and future perspectives.
Researchers have found a new way to detect subtle motor changes in Parkinson’s disease using Metagloves.
In a recent peer-reviewed study, participants performed everyday hand movements like opening and closing, grasping, and rotation while wearing MANUS gloves.
www.sciencedirect.com/science/arti...
"The glove-based operation interface enables seamless hand-arm coordination and the retargeting approach achieves precise human hand motion reproduction."
Read the full article for a look at how systems like these move us closer to robotic dexterity.
www.researchgate.net/publication/...
Want to see MANUS gloves in action? 🦾
We caught up with Aidin Robotics at #Automatica2025, where they showed off their robotic hand controlled live using MANUS Quantum Metagloves. #robotics