Dove Feng

MANUS feels it when you need a stress ball on Monday. Watch the subtle movements the MANUS Metagloves Pro Haptic can capture, including the fingertip tension while pressing the stress ball. This is possible through EMF-based fingertip sensors and 25-DoF anatomical hand tracking. This level of tracking precision and haptic feedback is what makes the difference for robotics, teleoperation, and embodied AI research, where the smallest movements often carry the most signal. Learn more: manus-meta.com/products/metag…

Introducing NEO’s 25 Degrees of Freedom, tendon-driven hands — nearing or surpassing human-level dexterity, strength, speed, and reliability. For seventy years, robotics worked around the hand problem. The humanoid bet is the reverse: it lives or dies at the fingertips.

Most people think of AI as LLMs like ChatGPT or Claude. But language intelligence is only part of it. For a robot to manipulate the world as dexterously as a human, and to relieve people of repetitive, dangerous, and strenuous work, it needs action data to learn from. Unlike language, that data can't be scraped from the internet. That's why leading research labs and robotics companies building dexterous systems use MANUS gloves to collect teleoperation and human demonstration data, in three main ways: 1️⃣Egocentric data collection. High-fidelity kinematic hand motion, occlusion free and drift free, for foundation models that generalize across embodiments. 2️⃣Real-world teleoperation. Low-latency finger tracking drives physical robot hands in real time, with optional haptic feedback on contact. 3️⃣Simulated teleoperation. Teleoperate a simulated robot inside @NVIDIARobotics Isaac Lab, reducing dependence on physical robots while preserving the policy quality needed for sim-to-real transfer. Learn more → manus-meta.com/robotics

TESOLLO teleoperates its DG-5F-M five-fingered hand with MANUS Metagloves Pro Haptic, in two setups: driven in simulation through @nvidia Isaac Sim, and the same control mapped to a real DG-5F-M. Tactile data streams back to the glove's haptic actuators, so the operator feels contact in either environment. The DG-5F-M is a 20-DoF anthropomorphic hand with four independently driven joints per finger, modeled on an adult hand at about 1.76 kg. It runs 250 Hz control with absolute encoders, handles pinch payloads up to 5 kg and envelope payloads up to 20 kg, communicates over Modbus RTU/TCP or Ethernet, and ships with ROS 2 support and a public development repository. @Tesollo_Inc

When a robot learns to react to touch, where does the training data come from? Researchers from @UCBerkeley, @nvidia, and @Stanford introduce T-Rex, a framework that unifies vision, language, and tactile sensing so robots can respond to physical contact in real time rather than relying on vision alone. On contact-rich tasks like inserting a card, turning a key, and handling deformable objects, it outperforms the strongest baseline by more than 30% across 12 real-world tasks. The foundation is a 100-hour tactile-synchronized teleoperation dataset spanning 200+ everyday objects and 22 motor primitives. During data collection, researchers wore @ManusMeta gloves to capture precise finger motion, which was then retargeted onto @SharpaRobotics Wave dexterous hands for bimanual teleoperation. Learn more: tactile-rex.github.io

Bimanual manipulation from @roboterax, showing coordinated control of XHand 1 Pro dexterous hands, teleoperated using @ManusMeta haptic gloves. Each hand: 21 active DoF, fully direct-drive and all backdrivable. 18 distributed tactile sensors across the fingertips, finger pads, and palm. ±0.1 mm pitch-joint repeatability, 4 kHz current-loop force control, and an open development stack on Ubuntu with C++, Python, and ROS 2. Learn more about MANUS in your robotics pipeline → manus-meta.com/robotics

Watch Xynova's Flex 2 teleoperated in real time with a MANUS haptic glove. Xynova's Flex 2 is a 23-DoF biomimetic hand featuring ±0.1 mm repeatability and load-backdrivable actuation with force-position hybrid control down to 0.05 N. It integrates multimodal sensing for slip detection and compliant reflexes, and supports an open development ecosystem. Learn more: manus-meta.com/use-cases/how-…

A dexterous humanoid learned to sort by color, chain skills, and follow a placement order with no robot demonstrations of those tasks. @Stanford and @Meta's Ego-Pi co-trains human and robot data on a π0.5 VLA. 90%+ success. The setup: a Galaxea R1 Pro whose dexterous hand control comes from MANUS gloves capturing the operator's finger joint angles. The same rig collects the human demonstrations, so both embodiments share one finger-tracking stream. Aligning in joint-angle space avoids the robot-side IK that produces self-colliding poses on high-DOF hands. Co-training alone reached 92% on color sorting and 90% on packaging; skill chaining hit 93% once subtask prediction was added as an auxiliary loss, up from 27%. Learn more: egopipaper.github.io Paper: arxiv.org/abs/2606.08107

The future of Physical AI isn’t built by one type of person. At MANUS, people from different backgrounds come together to solve hard problems, move fast, and build technology used by robotics teams around the world. Here's a glimpse of the women helping shape it. Want to build with us? We're #hiring in Eindhoven, The Netherlands. 👇 manus-meta.com/careers

Excited to see NVIDIA bringing together the technologies that make scalable robot learning possible. Congrats!

@KWRoboticsAI @ManusMeta Thanks. Did you try them at our booth?

@dovination @ManusMeta Nice gloves!

So cool to see @ManusMeta gloves running live demos across so many booths at #ICRA2026.

You can't walk the ICRA floor without running into MANUS gloves. Day 1 at #ICRA2026 was nonstop for us at booth 115, and across the hall MANUS gloves were powering live demos for many of the teams pushing dexterous manipulation, teleoperation, and embodied AI forward. There's a reason you keep seeing MANUS everywhere at ICRA. Try our gloves yourself, and the difference speaks for itself. See you at booth 115. @ieee_ras_icra #ICRA2026 #Robotics #EmbodiedAI #Teleoperation

Great to see MANUS gloves featured in Jensen Huang's keynote at @NVIDIAGTC Taipei, teleoperating the Sharpa hands of the newly unveiled NVIDIA Isaac GR00T Reference Humanoid Robot. The reference design brings together a @UnitreeRobotics H2 Plus, @SharpaRobotics Wave dexterous hands, and @nvidia Jetson Thor running Isaac GR00T as the onboard brain. Our part sits in the data layer: capturing high-fidelity human hand motion, the demonstration data that teaches robots to manipulate with precision. MANUS is the data glove officially supported in NVIDIA Isaac Teleop. Congrats to our partners at @nvidia, @UnitreeRobotics, and @SharpaRobotics! Fine manipulation is one of the hardest problems in humanoid robotics, and it starts with good data. Heading to #ICRA2026 in Vienna, Austria? Meet the MANUS team at Booth 115 and feel the precision yourself.

What do the world's leading robotics teams have in common? Look at their hands. 🧤 From top robotics companies to leading research labs, from Shanghai to Silicon Valley, the teams advancing embodied AI capture their dexterous manipulation data with MANUS gloves. We brought their work together in one video. 👇 Next week, see what the video can't show you. ICRA 2026, one of the biggest robotics events of the year, is days away, and we are bringing our newest demos to Vienna. You won't want to miss this. 📍 Booth 115 🌍 VIECON / Messe Wien, Messeplatz 1, 1020 Vienna 📅 June 1 to 4, 2026 #ICRA2026 @ieee_ras_icra #robotics

At Robotics Summit & Expo in Boston this week? Stop by @Tesollo_Inc booth 427 for a live demo: teleoperate the Tesollo robotic hand in real time with MANUS gloves. Meet our BD director Violaine Grady on site to talk through teleoperation, dexterous manipulation, and hand data capture. See how MANUS fits into your robotics pipeline → manus-meta.com/robotics @Robotics_Summit #Boston #robotics

BrainCo selected MANUS gloves as the input layer for teleoperation of their newly launched Revo 3 dexterous hand. MANUS high-precision hand tracking delivers millimeter-level fingertip accuracy over long sessions, avoiding cumulative drift and occlusion issues common to alternative tracking approaches. Heading to #ICRA2026? Meet the MANUS team at Booth 115 and feel the precision yourself. @BrainCo_Tech #robotics #ICRA #teleoperation #dexterousmanipulation #BrainCo #datacollection #EmbodiedAI

Heading to #ICRA2026 on 1-4 June in Vienna, Austria? Meet the MANUS team on site! If hand data is critical to your robotics work, find us at Booth 115: 🧤 Try MANUS gloves on and feel the capture precision firsthand 🧤 Talk hardware specs and SDK integration directly with our engineering team 🧤 Discuss data collection and deployment paths that fit your project @ieee_ras_icra #ICRA2026 #Robotics #EmbodiedAI

The moment people realize their fingers are controlling a robot hand in real time 🤯 MANUS gloves + Stella Robot's dexterous hand #teleoperation #robotics

Finger yoga, advanced class.