MANUS

• Metagloves Pro

  MANUS Metagloves

• Metagloves Pro Haptic

  MANUS haptic gloves

• MANUS data gloves with G1

  2026-02-18 - Digital Simulation - Tested With - TeleOpBench evaluates a simulated Unitree G1 using MANUS finger capture with Xsens body tracking. The paper reports separate physical dual-arm validation without naming that hardware as G1.

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• MANUS Quantum Metagloves with G1

  2026-01-13 - Research Experiment - Controlled By - METIS research, previously reported as RoboBrain-Dex, used MANUS Quantum Metagloves with a Unitree G1 and Inspire hands for egocentric dexterity-data collection.

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• Metagloves Pro Haptic with Tesollo DG-5F-series hand

  Physical Demo - Controlled By - Tesollo demonstrated DG-5F-series real-robot teleoperation and Isaac Sim haptic interaction using MANUS Metagloves Pro Haptic.

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• Metagloves Pro Haptic with Xynova Flex 2

  Physical Demo - Controlled By - Xynova used Metagloves Pro Haptic to teleoperate Flex 2, mapping four fingers from ergonomics data and the thumb from endpoint position.

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• Metagloves Pro with Ability Hand

  Physical Demo - Controlled By - MANUS tested Metagloves Pro with the PSYONIC Ability Hand through a Linux ROS 2 workstation, Integrated SDK and custom finger-angle translation.

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• Metagloves Pro with Inspire hand with six active degrees of freedom (model undisclosed)

  Research Experiment - Controlled By - UC San Diego's articulated-tool study used MANUS Metagloves Pro to provide teleoperated initial grasps when a dexterous hand could not establish stable grasps autonomously.

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Supply chain relationships

• NVIDIA

  Outbound - Teleoperation - Deactivated: MANUS in NVIDIA Isaac Lab is platform support, not supplier-to-product supply

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• RobotEra

  Outbound - Teleoperation - MANUS supplies teleoperation to Robot Era

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• Analog Devices

  Outbound - Teleoperation - MANUS supplies teleoperation to Analog Devices

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• Maarten Witteveen - Co-founder and Chief Technology Officer - At GTC 2026, he explained the architecture for moving glove measurements through the MANUS SDK into simulation and demonstration-data pipelines.
• Stephan van den Brink - Co-founder and Chief Executive Officer

• MANUS publishes HRDexDB use case for paired human-robot dexterous grasp data

  2026-05-07 - Research Publication - The use case focused on paired human and robotic hand grasp data. MANUS gloves supplied high-fidelity hand kinematics for the data-collection workflow. The work connected MANUS gloves to physical-AI and dexterous-manipulation research.

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• MANUS publishes OSMO tactile-sensing workflow for contact-rich robot learning

  2026-02-11 - Research Publication - The use case described OSMO tactile gloves paired with MANUS Quantum Metagloves for human-to-robot skill transfer. The workflow used tactile feedback and hand kinematics to train policies for a Franka robot arm and dexterous hand. MANUS cited a 72 percent task success rate for policies using MANUS hand tracking with tactile sensing.

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Curated durable documents and official technical references.

• MANUS Knowledge Center

  WEB · Gloves and Core · MANUS

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Events

• 2026-08-18 - Demonstration - Visual Dexterity study combines YAM Pro arms and Sharpa Wave hands

  MANUS gloves and Quest tracking teleoperated two YAM Pro arms fitted with Sharpa Wave hands. Three RealSense D405 cameras captured the real-world manipulation workspace.

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• 2026-07-30 - Demonstration - Beko Europe participated in a RoboCom/CIM/ARTES 4.0 humanoid evaluation demonstration in which…

  A human operator used MANUS gloves and a motion-capture suit in the humanoid evaluation. The demonstration was conducted through the RoboCom, CIM and ARTES 4.0 programme.

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• 2026-07-22 - Capability - BMW Plant Landshut describes MANUS-enabled humanoid training workflow

  MANUS gloves capture finger-level operator motion while cameras and motion-capture suits record posture and spatial context. The programme converts demonstrations into robot policies and involves Athenyx Robotics and Landshut University of Applied Sciences.

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• 2026-07-03 - Partnership - MANUS and Lightwheel partner on Physical AI data infrastructure

  MANUS contributes high-precision 25-DoF-per-hand capture for dexterous human demonstrations. Lightwheel turns the source signal into robot-learning-ready data through annotation, simulation and synthetic scaling. The companies frame the workflow around NVIDIA Isaac interoperability, including Isaac Teleop and Isaac Sim.

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• 2026-06-18 - Demonstration - T-Rex team records 100-hour tactile dexterity dataset

  The setup used two Dexmate Vega-1 arms, Sharpa Wave hands, multi-view cameras, MANUS gloves and VIVE trackers. Researchers recorded 100 hours of data across 12 manipulation tasks.

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• 2026-06-15 - Demonstration - Ego-Pi demonstrates dexterous humanoid research configuration

  The R1 Pro used either Tesollo or Inspire end effectors during the experiments. ZED Mini vision, MANUS gloves and Quest tracking captured the demonstration inputs.

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• 2026-06-15 - Demonstration - Demonstration: Xynova demonstrated Flex 2 teleoperation with MANUS Metagloves Pro Haptic

  Xynova demonstrated Flex 2 teleoperation with MANUS Metagloves Pro Haptic. This was a named Flex 2 teleoperation demonstration using the haptic glove configuration, not evidence of a commercial supply or standard product bundle.

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• 2026-05-15 - Deployment - RLWRLD uses MANUS gloves in industrial dexterity data collection

  The programme records real work such as textile folding, warehouse handling and convenience-store tasks. The gloves capture finger articulation for teleoperation, simulation or dataset-collection pipelines. RLWRLD described a data-collection workflow without publishing purchase volumes or supplier exclusivity.

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• 2026-05-07 - Research Publication - MANUS publishes HRDexDB use case for paired human-robot dexterous grasp data

  The use case focused on paired human and robotic hand grasp data. MANUS gloves supplied high-fidelity hand kinematics for the data-collection workflow. The work connected MANUS gloves to physical-AI and dexterous-manipulation research.

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• 2026-04-29 - Capability - MANUS details N1 Robotics humanoid manipulation data workflow using MANUS gloves

  The workflow used MANUS gloves as the operator input layer for teleoperation and hand-motion capture. MANUS highlighted millimeter-level hand tracking across 25 degrees of freedom. The use case focused on scaling humanoid manipulation data collection.

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• 2026-04-24 - Deployment - mimic integrates MANUS gloves into dexterous-demonstration capture

  The gloves capture continuous finger-motion data without requiring a camera's uninterrupted view of the hands. The collection workflow supports repeated recording across operators, sessions and environments. Human demonstrations provide the hand-motion data used to train the system's dexterous manipulation policies.

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• 2026-04-20 - Partnership - MANUS and Analog Devices bridge sim-to-real dexterous manipulation

  ADI, whose work in precision sensing and physical-edge intelligence underpins a growing range of robotics applications, collaborated with MANUS to address this challenge head-on. ‍ MANUS gloves as the motion capture layer In this pipeline, MANUS gloves serve as the human motion capture interface, translating the operator's hand kinematics into control inputs for the simulated robotic hand in real time.

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• 2026-04-16 - Demonstration - Westlake Robotics demonstrates Titan o1 teleoperation with MANUS gloves

  GAE generated coordinated full-body motion from the operator’s signals in real time. MANUS gloves supplied 25-degree-of-freedom finger data to the control pipeline. The demonstration showed a wearable input configuration rather than a standard production fit or commercial purchase.

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• 2026-04-01 - Demonstration - Sarcomere demonstrates ARTUS Lite teleoperation with MANUS gloves

  Operators independently articulated fingers, performed controlled grasps and releases, and coordinated multiple fingers. Internal joint-position and force sensing supported manipulation with the hand’s articulated finger structure. The configuration is intended to support future collection of human demonstrations for learning-based robotic control.

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• 2026-03-09 - Demonstration - A MANUS demonstration teleoperated a simulated 22-DoF Sharpa Wave inside NVIDIA Isaac Lab 2.3…

  A MANUS demonstration teleoperated a simulated 22-DoF Sharpa Wave inside NVIDIA Isaac Lab 2.3 and fed demonstrations into Isaac Lab Mimic. The relationship and configuration scope are limited to this named, dated programme.

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• 2026-03-02 - Demonstration - BiDex compares bimanual teleoperation interfaces

  MANUS gloves provided a common hand-tracking layer across the experiments. The study compared BiDex, Vision Pro and SteamVR teleoperation configurations.

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• 2026-02-26 - Demonstration - Apptronik Apollo teleoperated with MANUS gloves at Mercedes-Benz

  Operators directly controlled Apollo while synchronized hand and finger motion data were logged for policy learning. The demonstrated configuration included a PSYONIC Ability Hand on Apollo’s arm.

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• 2026-02-11 - Research Publication - MANUS publishes OSMO tactile-sensing workflow for contact-rich robot learning

  The use case described OSMO tactile gloves paired with MANUS Quantum Metagloves for human-to-robot skill transfer. The workflow used tactile feedback and hand kinematics to train policies for a Franka robot arm and dexterous hand. MANUS cited a 72 percent task success rate for policies using MANUS hand tracking with tactile sensing.

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• 2026-01-23 - Capability - Artly AI describes MANUS-enabled robot skill training

  Expert baristas wear MANUS data gloves so Artly can record fine hand trajectories for imitation learning. Artly said learned drink-making skills can be distributed across its revenue-generating robot operations in multiple cities.

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• 2026-01-08 - Demonstration - GR-Dexter records bimanual trajectories with ByteDexter V2 hands

  Two Franka Research 3 arms carried ByteDexter V2 hands and were driven with MANUS Metagloves and Quest tracking. The collection comprised about 20 hours of robot trajectories.

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• 2026-01-06 - Capability - OpenGraph Labs describes multimodal manipulation-data workflow

  The setup pairs MANUS gloves with iPhone egocentric video for hand motion and visual context. Custom software synchronizes the streams for routine multimodal manipulation-data capture.

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• 2025-12-16 - Demonstration - UC San Diego study uses teleoperated initial grasps for articulated tools

  Operators used MANUS Metagloves Pro to provide teleoperated starting grasps. The intervention was used when the dexterous hand could not establish a stable grasp autonomously.

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• 2025-11-19 - Demonstration - MANUS internally tested a ROS 2 teleoperation mapping between Metagloves Pro and the PSYONIC…

  MANUS internally tested a ROS 2 teleoperation mapping between Metagloves Pro and the PSYONIC Ability Hand. This was an internal ROS 2 mapping test between the named devices, not evidence of a commercial integration, purchase or standard product configuration.

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• 2025-02-27 - Partnership - Alt-Bionics and MANUS launch Surge teleoperation package

  Alt-Bionics formally announced its robotic-hands partnership with MANUS for commercial teleoperation packages. Metagloves Pro provided precise real-time control of Surge's dexterous movements. The turnkey package targeted humanoid, robotic-arm, and vision-system training workflows.

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• 2024-12-23 - Commercial Order - Alt-Bionics reports several Surge sales from Humanoids Summit

  Several Surge sales were secured during the inaugural Humanoids Summit. Live MANUS-powered demonstrations attracted attendees at the Computer History Museum event. The company disclosed neither customer identities nor quantities beyond several sales.

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• 2021-06-23 - Product Launch - MANUS launches Prime X Series data gloves

  The Prime X Series includes Marker Mocap and Haptic VR glove models. The gloves support optical motion tracking workflows and engines including Unreal and Unity through MANUS integrations. MANUS positioned the launch around accurate hand and finger data for professional workflows.

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Relationships

• Alt-Bionics, Inc.

  Robotic Hand Teleoperation Partner - Alt-Bionics and MANUS offer a turnkey Surge and Metagloves Pro teleoperation package.

• Chestnut Robotics

  Manus Glove Integration - Chestnut Robotics' Aero Hand Open supports bimanual teleoperation using MANUS gloves.

• NVIDIA

  Isaac Lab Teleoperation Device Support - MANUS teleoperation gloves integrate with NVIDIA Isaac Lab for robot demonstration and policy training.

• Lightwheel

  Physical AI Data Stack Partnership - MANUS and Lightwheel are linking high-precision hand capture with Physical AI data infrastructure for Real2Sim2Real robot-learning workflows.

Comparable profiles

• SenseGlove

  comparable profile - Haptic Human Augmentation

• HaptX

  comparable profile - Haptic Human Augmentation

• WEART

  comparable profile - Haptic Human Augmentation

• Dexta Robotics

  comparable profile - Haptic Human Augmentation

• Force Dimension

  comparable profile - Haptic Human Augmentation

• Haption

  comparable profile - Haptic Human Augmentation

• CyberGlove Systems

  comparable profile - Haptic Human Augmentation

• CONTACT CI

  comparable profile - Haptic Human Augmentation

Shared workflows

• Synthium

  workflow adjacency - Robot Learning Data Collection

• Mind Robotics

  workflow adjacency - Robot Learning Data Collection

• Hub

  workflow adjacency - Robot Learning Data Collection

• MiraiBit

  workflow adjacency - Robot Learning Data Collection

• Algomatic Dynamics

  workflow adjacency - Robot Learning Data Collection

• TacnIQ.ai

  workflow adjacency - Robot Learning Data Collection

• Lingsheng Technology

  workflow adjacency - Robot Learning Data Collection

• PHYMI

  workflow adjacency - Robot Learning Data Collection

• Reward AI

  workflow adjacency - Robot Learning Data Collection

• Moxian Technology

  workflow adjacency - Robot Learning Data Collection

• Stouching Robotics / 视塔机器人

  workflow adjacency - Robot Learning Data Collection

• AstrAlive

  workflow adjacency - Robot Learning Data Collection

Context tags

• Haptic human augmentation - Peer Group - Metagloves Pro Haptic combine hand tracking with embedded vibrotactile actuators for human feedback.
• Embodied data capture - Stack Layer - MANUS supplies hand-tracking and haptic gloves for robotics data capture.
• Robot learning data collection - Workflow - MANUS captures dexterous human demonstrations for robot learning.
• Teleoperation data capture - Workflow - MANUS is positioned around robotic hand teleoperation and Isaac Teleop workflows.
• Physical AI data infrastructure - Stack Layer - MANUS partners with Lightwheel on Physical AI data infrastructure.

• Alt-Bionics reports several Surge sales from Humanoids Summit

  2024-12-23 · Order / contract · Alt-Bionics CEO Ryan Saavedra reported several Surge sales secured during the inaugural Humanoids Summit after live MANUS-powered demonstrations, while leaving customer identities and order values undisclosed.

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