Murata will introduce isolated gate-drive power converters and integrated inertial sensors at electronica 2026, alongside demonstrations spanning robotics, automotive sensing, wireless tracking and wearable interfaces.
The exhibition takes place on 10–13 November at Messe München, with Murata exhibiting in Hall C4, Booth 179.
For component engineers, the preview brings together two important development directions: power supplies designed for high-voltage SiC switching environments and compact sensing assemblies that combine measurement, passive components and local processing. Murata will also present power, battery and passive-component solutions for AI data centers and robotics, and introduce a digital service for circuit design.
MGJ2T2 isolated supplies for SiC
Murata plans to launch the MGJ2T2 series of isolated gate-drive DC-DC converters for high-voltage silicon carbide MOSFET applications. The company positions the series around high isolation performance and strong immunity to electrical noise, targeting energy storage and distribution, motor drives and EV charging.
The engineering significance extends beyond supplying the gate-driver rail. Fast-switching power stages make the isolation barrier and its parasitic coupling important contributors to common-mode noise. As discussed in the Passive Components Blog guide to SiC and GaN gate-driver isolation, transformer geometry, interwinding capacitance and insulation requirements need to be considered together when evaluating an isolated auxiliary supply.
Murata has not yet disclosed detailed MGJ2T2 electrical specifications in the announcement. Output-voltage options, power ratings, isolation limits and quantified noise-immunity performance therefore remain points to confirm when further product information is released during the show.
SCI36LT integrates sensing and processing
The SCI36LT series is a six-degrees-of-freedom inertial measurement solution that integrates a sensor, the required passive components and a microcontroller in a single compact LGA package. Its integrated MCU can run complex sensor-fusion algorithms, including Murata’s proprietary algorithm for determining pitch, roll and yaw.
This integration makes the package architecture a central part of the announcement: Murata is combining movement measurement with the processing needed to derive orientation, rather than presenting only a standalone sensor element. The release does not yet provide numerical accuracy, package dimensions, interface specifications or processing-performance data; further details are scheduled for electronica.
Human interfaces for physical AI
Murata will demonstrate two approaches to capturing human input for AI systems.
- Camera-free hand tracking: Developed with Melt Interface Technologies, the demonstration uses compact, high-sensitivity LF antennas at the fingertips to capture hand and finger movements. Murata identifies potential applications in robot learning, teleoperation and transferring skilled human techniques into digital training data.
- Mask-based voice capture: A mask voice clip uses a Picoleaf piezoelectric film sensor to detect mask vibrations generated by speech. The demonstration targets clear voice input in noisy environments, including factories.
The two concepts address different input channels—motion and speech—but share the objective of connecting physical human activity to digital systems. Murata describes the hand-tracking technology as a potential source of real-world training data for physical AI, rather than announcing a finished robot-learning platform.
Automotive sensing and connectivity
The mobility demonstrations will combine sensing, positioning, communications and power technologies in live vehicle and exhibition-hall environments.
| Demonstration | Announced technology | Application focus |
|---|---|---|
| Vehicle positioning | Precise positioning developed with Hexagon, plus Murata sensor technologies | Headlight levelling and GNSS-free positioning |
| In-cabin sensor fusion | Automotive-grade 60 GHz radar combined with Smart Eye’s AI-powered interior sensing and fusion software | Driver monitoring, occupant monitoring and child presence detection |
| Moving-vehicle communications | Live vehicle-to-everything demonstration | V2X connectivity |
| Camera-lens clearing | Ultrasonic Clearing Device using piezoelectric technology | Maintaining camera visibility in bad weather for ADAS and future automated-driving applications |
The Ultrasonic Clearing Device is particularly relevant to sensing-system availability. Rather than changing the camera’s image-processing function, it applies ultrasonic vibrations to the lens to help maintain visibility when weather conditions interfere with sensing. Murata has not published quantified clearing performance in this announcement.
Indoor tracking and wearables
The connectivity area will demonstrate indoor tracking using BorealPath positioning technology from Nordic Inertial, incorporating a Murata inertial measurement unit. Murata’s Wi-Fi HaLow Type 2HK and Type 2HL modules will provide long-range, low-power communication of location and device information. The demonstration targets indoor and GNSS-challenged tracking applications; an ultra-wideband smart door lock and compact LoRa modules will also be shown.
Wearable and tactile demonstrations will include:
- Wonder Stone: Murata’s echorb demonstration uses 3DHaptics technology to create sensations resembling being pushed or pulled, communicating directional information through the hand. Potential uses include navigation and guidance for visually impaired users.
- Smart Ring: Developed with Sensoryx, the demonstration combines ultrasound distance measurement with IMU orientation and movement data for pointing, writing and 6DoF motion tracking.
- Microblower: A cuff-based wearable demonstration will showcase inflation using Murata’s compact air-moving technology, which the company describes as quiet and low-vibration.
For background on tactile interfaces, the Passive Components Blog explanation of piezoelectric haptic technology explores how electronic devices can communicate more nuanced sensations than a simple vibration alert. It provides general context rather than a description of the specific actuator construction used in Wonder Stone.
AI infrastructure and design evaluation
Murata will also present power, battery and passive-component solutions addressing efficiency and reliability requirements in AI data centers and robotics. A dedicated IC area will cover semiconductor and integration technologies, including embedded solutions, optical communications and a reference-design demonstration. The announcement does not identify specific passive-component families or electrical ratings for these exhibits.
For engineers evaluating the preview, the important distinction is between announced product introductions and exploratory demonstrations. MGJ2T2 and SCI36LT have named series and defined application positioning, but their detailed specifications are still pending. Several other exhibits are concepts or products under development, and Murata notes that specifications and appearance may change without notice.
Visitors can use the exhibition to discuss application requirements with Murata’s specialists and clarify datasheet availability, evaluation hardware, integration requirements and development status before moving toward design-in.
Further reading
- Solid-State Transformers for 800 V AI Data Centers: Passive Component Design Considerations — Deeper context on insulation, magnetics, capacitors and EMC in emerging AI infrastructure.
- Murata Safety Ceramic Capacitor Solutions for EV Powertrains — Technical background on safety capacitors and common-mode filtering in automotive power systems.
Source
This article is based on Murata Manufacturing’s press release dated 6 October 2026, with additional engineering context from relevant Passive Components Blog technical articles. The announcement previews electronica exhibits rather than providing complete design specifications; current manufacturer documentation should be used for component selection and qualification.





















