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Our research shows that cat videos are still more popular than haptic data glove videos. We were baffled by this result too.

So we decided to combine both. Check it out and feel the purr-fection.

MANUS data gloves capture every finger, joint, and micro-movement in real time. 25 degrees of freedom. Complete, accurate, low-latency data for high-quality datasets and advanced applications.

Physical AI needs data that text and video can't provide.

RLWRLD, a South Korean physical AI company, is collecting it at the source: skilled workers, real tasks, real environments. MANUS gloves stream full hand and finger articulation into the training pipeline.

Read the full use case: https://manus-meta.com/use-cases/how-rlwrld-collects-human-dexterity-data-for-physical-ai-training

#robotics #humanoids #PhysicalAI #teleoperation #EmbodiedAI

Meet MANUS in Boston! Catch us at the Robotics Summit & Expo (May 27-28). High-precision data gloves for teleoperation & embodied AI training. Our Business Development Director Violaine Gragy will be on-site, let's connect.

Learn more about MANUS in your robotics pipeline → https://www.manus-meta.com/robotics

Check out this video of MANUS™ gloves teleoperating the 22-DoF Sharpa Wave Robotic Hand, capturing high-fidelity demonstration data for embodied AI.

MANUS™ gloves provide high‑fidelity motion data for dexterity training and teleoperation. Their EMF‑based sensing system enables drift‑free, occlusion‑free tracking without the limitations of vision‑based approaches.

Learn more about MANUS™ through the link in our bio.

#humanoid #humanoids #humanoidrobotics #humanoidrobot

"Given his salary, I think this is by far the most expensive teleop trajectory ever collected in our dataset."

Jim Fan at Sequoia Capital AI Ascent 2026, on the clip of NVIDIA Chief Scientist Bill Dally wearing MANUS gloves to teleoperate a humanoid robot inside the GEAR Lab.

At @nvidiarobotics, MANUS gloves provide high-fidelity hand motion data for the next generation of Physical AI models.

Watch the full video: https://youtu.be/3Y8aq_ofEVs

MANUS gloves support multi-user capture out of the box. Every glove gets its own independent data stream, with no loss in precision.

N1 Robotics built Waldo, a humanoid teleoperation platform that uses MANUS gloves as the operator input layer. WaldoRT, their custom retargeter, maps MANUS data directly onto robot hands, preserving grasp intent across Inspire, BrainCo Revo 2, Sharpa, and others. As long as a URDF is available, WaldoRT generates the retargeting configuration for that hand, no per-operator or per-end-effector retuning required.

Learn more at our link in bio.

#robotics #teleoperation #datacollection #humanoids

MANUS gloves live at the 3rd China Embodied AI & Humanoid Robotics Conference in Beijing. Thanks to our partner CNBest for the on-site teleoperation demo!

#robotics #teleoperation #EmbodiedAI #datacollection

How humans move their hands is still the best blueprint for teaching robots to do the same. Mimic Robotics, a Switzerland-based physical AI company with roots in ETH Zürich, builds dexterous robotic hands and the manipulation models that drive them. To train those models at scale, they use MANUS data gloves to capture human hand motion, turning real-world demonstrations into the datasets their manipulation policies learn from.

#robotics #datacollection #EmbodiedAI

Tesollo, a South Korean company specializing in dexterous robotic hands, uses MANUS gloves to teleoperate its robotic hands in real time for precise paper cup stacking.

MANUS gloves capture subtle hand movements with 25 degrees of freedom and millimeter-level precision without occlusion or drift. Every motion is mapped 1:1 to the robot end effector, enabling reliable teleoperation and high-quality data collection for dexterous manipulation.

#robotics #teleoperation #datacollection #EmbodiedAI

Teleoperating the 22-DoF Sharpa Wave with MANUS gloves, capturing high-fidelity demonstration data for embodied AI.

#robotics #teleoperation #manipulation #datacollection