Analog Devices showcases embedded sensing and control platforms

Embedded platforms increasingly require tightly coupled sensing, processing, power management and connectivity within constrained footprints. At Embedded World 2026 (March 10 – 12, Hall 4A, Booth #360), Analog Devices, Inc. will present a series of demonstrations illustrating how these elements can be architected as coordinated subsystems across industrial automation, robotics, medical electronics and high-performance embedded design.

Managing power density and EMI in compact designs
A central focus is power integration using µModule^® regulators that combine power switches, magnetics and control circuitry in a single package. Such integration reduces layout complexity in space-constrained embedded boards, particularly where thermal behaviour and electromagnetic interference (EMI) must be managed simultaneously.

Silent Switcher^® architecture mitigates switching noise at the source. Adding a package-level EMI shield to a µModule regulator further improves radiated emissions performance, supporting compliance in noise-sensitive systems such as precision instrumentation, communication modules and motor drives.

Simulation and signal-chain validation earlier in development
LTspice^® 26 will be demonstrated as part of a broader modelling workflow alongside the Signal Chain Designer tool. Improved convergence and usability enable engineers to simulate analog signal paths, evaluate performance trade-offs and verify system-level behaviour before hardware fabrication.

By integrating simulation more tightly into the design flow, developers can reduce prototype iterations in mixed-signal systems, particularly in measurement electronics and motion-control feedback loops.

Analog Devices will also present how these tools connect with its broader development ecosystem, aiming to streamline transitions from schematic capture to validation and debugging.

Software-defined automation and predictive motion control
Motor control demonstrations will cover stepper, BLDC, solenoid and AC servo systems using algorithm-based control tuning. Instead of fixed hardware-defined parameters, control characteristics can be adjusted through firmware updates.

Edge processing is used to support predictive diagnostics, detecting vibration patterns or load anomalies before functional failure. In industrial automation environments, this approach aligns with software-defined automation strategies, where adaptive firmware updates support evolving production requirements and reduce unplanned downtime.

Robotics: balance, perception and dexterity
Several demonstrations address core challenges in robotic autonomy.

A unicycle robot uses a fully calibrated 6DoF inertial measurement unit with tactical-grade In-Run Bias Stability and wide bandwidth. Stable orientation and velocity estimation directly influence closed-loop control accuracy in dynamically balancing systems.

A vision-enabled humanoid robotic hand combines embedded depth sensing, object recognition and gesture interpretation to perform manipulation tasks relevant to manufacturing and service robotics.

Analog Devices will also present a GMSL-enabled perception system using automotive-grade serial links to synchronize multi-camera inputs required for visual SLAM (simultaneous localization and mapping). Deterministic timing and high-bandwidth transfer support scalable robotic vision architectures while reducing integration complexity.

Ethernet connectivity to the field level
Single Pair Ethernet implementations based on 10BASE-T1L (long reach) and T1S (multidrop) will be shown operating with TSN scheduling via the ADIN6310 switch. This architecture enables time-sensitive and non-time-sensitive traffic to coexist on the same physical network.

For industrial operators, such convergence simplifies migration from segmented fieldbus systems to unified Ethernet infrastructures, supporting scalable data acquisition and digital supply chain transparency across machines and edge devices.

Multicore debugging and heterogeneous data pipelines
CodeFusion Studio™ will be demonstrated as an integrated debug environment supporting memory visualization, GDB-based workflows and coredump analysis for multicore SoCs. Profiling tools including Zephyr Profiler and System Event Viewer provide telemetry and trace correlation across processing cores, enabling faster root-cause analysis.

ADI DataX™ addresses portability of data acquisition and processing workflows across heterogeneous compute platforms. The same framework is applied to phased-array and software-defined radio prototyping on platforms such as ADALM-PHASER, Jupiter SDR and Talise™ SOM, where synchronized MIMO scaling is required for adaptive RF systems.

Wearables and remote health monitoring architectures
In medical and consumer health electronics, demonstrations include a compact continuous glucose monitoring prototype integrating an analog front end, microcontroller and motion sensing in a wearable form factor. Low-power electrochemical sensing and system integration are central to maintaining accuracy while preserving battery life.

A remote prehabilitation monitoring platform combines smartwatch-based sensing with tablet interfaces and cloud connectivity. Clinicians can monitor heart-rate-zone exercise adherence and adjust prescriptions remotely, supporting distributed care models.

Analog Devices will also present ultra-low-power accelerometer integration within earbud form factors, enabling multi-sensor functionality without significantly increasing energy consumption or mechanical volume.

Machine-learning-assisted voice processing
Audio demonstrations combine classical DSP techniques with machine-learning-based noise suppression and voice activity detection. In low signal-to-noise environments, this hybrid approach improves speech intelligibility while enabling command phrase recognition and speech-to-text integration in embedded devices.

Toward an integrated embedded development stack
Across these demonstrations, the emphasis is on treating sensing, power, connectivity and processing as elements of a unified architecture rather than isolated components. By linking simulation tools, hardware platforms and runtime instrumentation, Analog Devices will illustrate how embedded developers can design, validate and optimise complex systems within a cohesive engineering workflow.

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