Murata’s Glove With 3-Axis LF Antenna Turns Finger Movements Into Robot Training Data

Gizmodo Japan reported on Oct. 27, 2026, about a hand-tracking glove developed by Murata Manufacturing and Melt Interface Technologies. The product, the “ContactGlove3 Pro,” uses Murata’s compact, high-sensitivity 3-axis LF antenna to capture finger movements. The companies announced a business partnership on Sept. 28, 2026, and the product was displayed at Murata’s booth at CEATEC 2026, held at Makuhari Messe from Oct. 13 to 16, 2026.

Melt Interface Technologies has identified uses for its glove, which turns the position and posture of fingers into data, as input for AI training and robot control. The configuration incorporating Murata’s 3-axis LF antenna is a concrete example of an input device for capturing human movement data needed for robot training. However, the announcement materials do not confirm its accuracy in actual work or its effectiveness in reproducing skills.

The product’s key feature is not the robot’s mechanics or inference processing, but the input side: capturing human finger movements. The configuration combines a glove designed by Melt Interface Technologies with Murata’s 3-axis LF antenna, using position and posture estimates to obtain training data or control inputs. The report’s suggestion that robots could take over tasks performed by skilled workers depends on whether this input data can be linked to actual robot movements. However, the display and descriptions of intended uses do not show that skill reproduction or task substitution has been achieved. Our related article, Murata’s Glove-Type Device Reported to Reproduce Finger Movements, dated Oct. 13, 2026, covers the same glove-type device. The latest report can be viewed as placing the product in the context of its CEATEC display and robot training. From the perspective of core component development covered in Nikkei Xtech Reports on Japan’s Efforts to Develop Core Components for AI Robots, the antenna is a concrete example of a component used to capture robot movement data. The glove, however, measures finger movements and should not be equated with the overall perception and control capabilities of a robot. The industrial implication is that product value depends not only on sensor component performance, but also on how measured coordinates and postures are used in training and control systems. The announcement cited stable position and posture estimation, lower power consumption and miniaturization, and identified uses including AI training data, robot control, remote operation and the capture of skills data at manufacturing sites. The business partnership, combining an input device with component technology, addresses the process of turning real-world movements into data. The materials do not specify data formats, how the data are mapped to robots, or the scope of tasks covered. The next points to verify are measurement accuracy and reproducibility in actual work, which training or control systems the captured data will connect to, and whether the device has been used in the field. The announcement materials do not provide numerical figures for accuracy, operating time or production scale. The focus will be on what evaluations can bridge the gap between movements demonstrated at an exhibition and sustained skills-data capture or task reproduction by robots.

According to Melt Interface Technologies, the antenna is used in the “ContactGlove3 Series,” which estimates the position and posture of fingers using electromagnetic fields. The company says it contributes to stable position and posture estimation, as well as lower power consumption and miniaturization. The company intends to use captured finger movements as AI training data and input for robot control, with applications in robot training and remote operation, as well as skills-data capture at manufacturing sites. Gizmodo Japan reported that the electromagnetic-field approach can capture movements, including those on the inside of the hand, unlike camera-based methods. This is the outlet’s description and does not demonstrate accuracy in actual operation or a track record of deployment.

Murata’s compact, high-sensitivity 3-axis LF antenna is used in a glove that captures finger movements. The product can be seen as an example of Japanese electronic component technology being incorporated not only into robots themselves, but also into devices that capture real-world data for training and control.