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A bidirectional teleoperation system for dexterous robot hands. It lets you control a robot hand, and the robot hand can also move your hand. When the robot makes a mistake, it first moves your hand to match its position. That way you can take over smoothly without dropping the object. These corrections help the AI get better. It works with different robot hands, gets better results than regular gloves, and comes with a paper and a dataset. Thanks for sharing, Zhanpeng He (@zhanpeng_he) 📌 Paper: Website: —— Into robotics and AI? Subscribe free:
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"Absolutely no teleoperation." Figure AI’s humanoid robots sorted packages for around 50 hours nonstop without intervention, CEO Brett Adcock told @EdLudlow, responding to internet speculation triggered by Figure's live-streamed demonstration that drew millions of viewers
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From World Robot Conference 2026 in Beijing: Xynova demonstrated dexterous hand teleoperation using @ManusMeta gloves, translating the operator’s hand movements into real-time robotic control with high-fidelity hand motion data. #WRC2026# #robotics# #teleoperation# #DexterousManipulation# #PhysicalAI#
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Live from World Robot Conference 2026 in Beijing: @roboterax is showcasing teleoperation of the XHAND 1 Pro dexterous hand with @ManusMeta gloves. Video 1: a ROBOTERA operator demonstrates high-precision teleoperation. Video 2: a visitor tries the setup without first running a user-specific calibration, yet the teleoperation remains stable, smooth, and responsive. With 21 active degrees of freedom, fully direct-drive actuation, and integrated tactile sensing, XHAND 1 Pro is built for advanced robotic manipulation and embodied intelligence research. MANUS provides high-fidelity, low-latency hand motion data as real-time input for robot control. #WRC2026# #robotics# #humanoids# #teleoperation# #PhysicalAI#
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MANUS Metagloves Pro Haptic: Modular Design for Multi-User Teleoperation The Metagloves Pro Haptic use a modular design that separates the top casing from the sensor glove. Each team member has their own dedicated glove, and the top casing moves between users in seconds when shifts change. No extended downtime, no interruption to the workflow. Curious about the other features of the Metagloves Pro Haptic? Check out our website to learn more.
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We took our robotics hardware to @SolanaEvents AI Accelerate Day. Live teleoperation and egocentric data were recorded — with good coffee, Rubik's cube fun, and a community that showed up. 👇
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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:
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From World Robot Conference 2026 in Beijing: @BrainCo_Tech demonstrated bimanual robot teleoperation using @ManusMeta gloves, mapping the operator’s hand movements to the robot in real time for coordinated dexterous manipulation. #WRC2026# #robotics# #teleoperation# #DexterousManipulation# #PhysicalAI# #humanoids#
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We have expanded our data collection into hospitality. Here’s our Zerith H1 pouring wine via teleoperation. With enough data, we aim to deploy humanoids that can operate autonomously in these environments.
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We just shipped a new feature for SN/06: TeleArms — RoboPlayground. Users can now control and toggle between vision cameras for smoother teleoperation-in-simulation while completing challenges. We still have a few private beta codes left. RT + comment if you want one. 🦾
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