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ContactGlove3 Pro: Murata and MELT’s Robot Training Specs

Ubergizmo JAPAN Japan
Overview
Murata Manufacturing and MELT Interface Technologies have developed the ContactGlove3 Pro, an EMF-sensing hand-tracking glove designed to generate high-precision data for physical AI and robotics training. The system achieves a median position error of 0.5mm and improves power efficiency by approximately three times compared to existing EMF gloves.
In Depth

Key Findings

The ContactGlove3 Pro, showcased at CEATEC 2026, enables the real-time capture of human finger movements to train robotic systems. The device received the “CEATEC AWARD 2026” Excellence Award for its ability to generate precise data for robotics and physical AI applications. The system allows human gestures to be converted into digital data to control both digital hands and physical robot arms.

Technical Details

Unlike camera-based systems, the glove utilizes electromagnetic field (EMF) sensing, eliminating the need for external cameras and avoiding issues with lighting or occlusion. The hardware integrates Murata’s ultra-compact, high-sensitivity 3-axis low-frequency (LF) antennas in the fingertips, which Murata claims provide approximately three times the power efficiency of existing EMF gloves with the same battery capacity.

  • Accuracy: Median position error of 0.5mm; maximum error of 1.5mm.
  • Performance: 100Hz operating frequency with latency under 30 milliseconds.
  • Degrees of Freedom: Measures 30 degrees of freedom (6 per finger), outputting 25 via a biomechanical model.
  • Stability: Employs “zero-drift technology” to measure absolute position, preventing cumulative tracking errors.
  • Battery Life: Up to 10 hours.

The Pro version differs from the standard ContactGlove3 by moving tracking sensors from the second joint closer to the fingertips to better capture precise tasks like gripping tools or small object manipulation. To mitigate industrial interference, MELT implemented noise reduction technology that can reduce electromagnetic interference by up to 80%.

Background & Context

The glove supports ROS 2, C++, Python, Unity, Unreal Engine, and MotionBuilder. It is priced at 3,999 USD in the US, with availability planned for November 2026. While the glove records human dexterity, the source notes that current robot hands still face mechanical constraints, such as the inability to bend the palm.

Significance & Outlook

Murata and MELT entered a business alliance in September 2026. Beyond hand tracking, the partnership plans to explore other human-machine interfaces, including voice input devices utilizing Murata’s piezoelectric technology.

Source: https://jp.ubergizmo.com/2026/10/25/27185/

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