Head of Marketing @ManusMeta, building scalable solutions for human interaction data
The Netherlands
Joined February 2019
- Tweets125
- Following99
- Followers18
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Dove Feng retweeted
"What I really like about MANUS is that we make a product from beginning to end. We design it, we build it, we test it, we produce it, we ship it."
At @ManusMeta, you don't just work on one piece of the puzzle. You see your work go from first sketch to a customer's hands.
We're building the technology that teaches robots human dexterity, and we're hiring. Check out our open roles: manus-meta.com/careers
Dove Feng retweeted
mimic demonstrates real-time teleoperation of its dexterous robotic hand using MANUS gloves, live from NVIDIA GTC in Berlin.
Video Credit: @ManusMeta
#engineering #technology
Dove Feng retweeted
We’re in Berlin for NVIDIA GTC! 🇩🇪
Fantastic keynote from Jensen Huang, and great to catch up with so many familiar faces from the robotics community!
If you’re working on dexterous manipulation, robot learning, or scaling human hand data collection, we’d love to connect.
See you around at #GTCBerlin! 🤖
Dove Feng retweeted
Live from NVIDIA GTC in Berlin: @mimicrobotics demonstrates real-time teleoperation of its dexterous robotic hand using @ManusMeta gloves. Precise hand input, fine manipulation, live on the show floor.
#NVIDIAGTC #GTCBerlin #GTC2026 #robotics #PhysicalAI @NVIDIAGTC @NVIDIARobotics @nvidia
Dove Feng retweeted
@Honda showcases dexterous teleoperation of its Avatar robot with MANUS data gloves.
Equipped with @ManusMeta data gloves and a headset, the operator controls both robotic hands to perform a tool-based screw-tightening task.
MANUS gloves capture precise finger movements in real time, providing high-fidelity hand-motion data for teleoperation. Combined with Honda’s robotic control and AI-assisted system, this enables coordinated dexterous manipulation.
#MANUS #Honda #Teleoperation #Robotics #PhysicalAI
Dove Feng retweeted
EgoExplorer from Shanghai AI Lab: 100 hours of real-world tasks with synced egocentric video, full-body motion and hand data.
The EgoExplorer research team described MANUS data gloves as “the backbone of our hand stream.”
By capturing walking, posture changes, grasping and object manipulation as one continuous whole, EgoExplorer gives humanoid retargeting, whole-body control and embodied AI research richer human demonstrations to learn from.
📄github.com/InternRobotics/Eg…
Dove Feng retweeted
Hands up if you had fun at the MANUS BBQ! 🙌
We teach humanoid robots to move like us, and our team is growing fast.
If you’ve been waiting for the right moment to join, this is it.
👉 See our open roles: manus-meta.com/careers
Dove Feng retweeted
Boom💥
Teleoperating two Ability Hands with @ManusMeta gloves on @AgilexRobotics Nero arms 🦾🦾
Hand and arm data streams into a full 3D sim synced to a depth camera, all built with @claudeai. Real to sim data that can train models to run these tasks autonomously.
Boom 💥
Dove Feng retweeted
.@Xynovaofficial_ is one of the top rising players in China’s dexterous hand and humanoid robot components space, based in Hangzhou
• They develop not only the hands but also all core components (linear actuators, motors, etc) and algorithms fully in-house
• They use a hybrid drive system, combining tendon-driven and direct-drive methods
• One of the most exciting features is wrist control and finger abduction/adduction, delivering much more natural hand and arm dexterity
• They prevent the hand from overheating by placing one of the actuators in the arm (below the palm)
• Hands are equipped with tactile sensors and lidars, with 23 DoF (human hands have ~27 DoF)
The overall design is deeply inspired by real human hand and arm muscle movements, impressive biomimicry approach
@TheHumanoidHub and I interviewed their tech lead so stay tuned for more technical details!
Dove Feng retweeted
.@ManusMeta has introduced MANUS Core 3.2.
The latest release brings native ARM64 support for the MANUS Core SDK on Linux, alongside improved thumb-to-finger calibration for more precise pinch tracking across a wider range of hand sizes.
MANUS Core 3.2 also adds haptic feedback support in NVIDIA Isaac Teleop for MANUS Metagloves Pro Haptic and a new Python SDK for AI training and development workflows.
Find out more here: humanoidroboticstechnology.c…
#humanoids #humanoidrobotics #humanoid #humanoidrobot
Dove Feng retweeted
MANUS Core 3.2 is here.
This release brings Linux ARM64 support, more accurate and consistent pinch tracking across a wide range of hand sizes, a new Python SDK, and haptic feedback support in NVIDIA Isaac Teleop.
Download MANUS Core 3.2:
docs.manus-meta.com/3.2.1/Re…
Read the release notes:
docs.manus-meta.com/3.2.0/Re…
Dove Feng retweeted
Live from #IROS2026 in Pittsburgh, USA: Our CTO & Co-founder @MaartenManus walks you through data collection in the wild, #robotics hand data pipelines, and what it takes to turn human dexterity into robot skills.
Catch him at Booth 408 or book a meeting 👉 manus-meta.com/iros-2026
@ieeeiros
Dove Feng retweeted
Hands up if you're at #IROS2026 in Pittsburgh! 🙌 Stop by Booth 408 to see MANUS Nexus™, talk robotics hand data, or just shake hands with the team (we'll track every finger).
Book a meeting 👉 manus-meta.com/iros-2026
@ieeeiros #robotics #datacollection #dexterousmanipulation
Dove Feng retweeted
One Top Module. Every glove in your workflow.
MANUS Nexus™ is a modular glove ecosystem designed to evolve with your needs. Move one Top Module across different MANUS Metagloves and capture the data your application calls for.
📍 Learn more at MANUS Booth 408, IROS 2026.
🔗 manus-meta.com/iros-2026
@ieeeiros
#IROS2026 #Robotics #EmbodiedAI #Teleoperation #ManusGloves #ManusMetagloves
Dove Feng retweeted
One glove. Multiple robot hands. One retargeting algorithm under the hood.
Teleoperating Sharpa, Inspire, BrainCo, and Xynova hands simultaneously in real time with MANUS Metagloves Pro.
#robotics #teleoperation #sim #ManusMetagloves
Dove Feng retweeted
Data collection for Physical AI is a trade-off, not a solved problem.
At the Humanoid Robots Summit in Stuttgart, our Co-founder & CTO @MaartenManus highlighted a fundamental tension: video scales, but doesn’t align with real robot hardware; teleoperation aligns, but doesn’t scale.
Closing that gap means collecting richer, more diverse data directly from people doing the work, including the contact and force that video alone can’t capture, with tools that don’t leave scars in the data.
If you’re still at the summit today, come find the MANUS team at Booth E9 to continue the conversation.
Dove Feng retweeted
We’re in Japan this week for Factory Innovation Week. Come see us and say hi! 🇯🇵
While we’re here, here’s a quick look at MANUS teleoperating @Tesollo_Inc’s dexterous hand to stack paper cups, captured at @TechShare_Corp.
A great demonstration of how high-precision human hand tracking can translate natural hand motion into dexterous robot control.
Dove Feng retweeted
Haptic feedback support for MANUS is now available in NVIDIA Isaac Teleop.
In Isaac Lab teleoperation workflows, contact signals from the simulated robot hand can now be translated into per-finger vibrotactile feedback on the operator’s glove. The MANUS integration receives haptic commands through Isaac Teleop and drives the glove’s five finger vibration motors via the MANUS SDK.
This adds haptic feedback to the existing high-fidelity hand tracking integration and provides operators with an additional feedback channel during teleoperation and demonstration recording.
We appreciate the @NVIDIARobotics team’s continued work on the MANUS integration and the close collaboration that made this possible.
Read the @nvidia documentation:
isaac-sim.github.io/IsaacLab…
nvidia.github.io/IsaacTeleop…
Dove Feng retweeted
Supporting 50+ robotic hand models globally.
MANUS Metagloves integrate with leading robotic-hand platforms via the MANUS Core SDK, with support for C++, Python and ROS 2.
Learn more about MANUS for #Robotics → manus-meta.com/robotics
Dove Feng retweeted
Gold medals at the World Humanoid Robot Games! 🏆
Congratulations to our partner @AGIBOTofficial on winning 18 gold medals and topping the medal table at the 2nd World Humanoid Robot Games. Using @ManusMeta gloves for real-time teleoperation, the team's @AGILINKai OmniHand took first place in events including cable connection, unboxing, nail fixing, and bottle opening. An outstanding demonstration of dexterous manipulation.
Across the competition in Beijing, many teams used MANUS Metagloves for real-time teleoperation. When every movement matters, MANUS delivers the precision, stability, and robustness teams need to perform at their best.
#WorldHumanoidRobotGames #Robotics #Humanoids #Teleoperation