Samsung Presents MLCC Selection Guide for Humanoids and Robotic Applications

Robots and humanoid robotic systems are rapidly transforming into sophisticated electromechanical systems. These systems often integrate high-performance AI computing, powerful multi-axis drives, and dense sensor arrays within a limited mechanical space. This combination places significant demands on the passive components in their power distribution network.

Samsung Electro‑Mechanics has introduced its latest MLCC offering, suitable for humanoid robots and other robotic platforms. This article provides an overview of the new product and offers practical guidance for design engineers and purchasing teams involved in the development of next-generation robotics platforms.

Key features and benefits

Samsung Electro‑Mechanics positions MLCCs as a core enabler for the three main subsystems of robotic systems and humanoid robots: computing modules, motor control / actuator drives, and sensors.

The below guidelines are focused on MLCCs in humanoid robots as an example of the most demanding platform nevertheless they are applicable also in other type of industrial robots, collaborative robots, AGVs/AMRs and autonomous systems with similar constraints on size, power density and reliability.

Computing modules (SoC, GPU/NPU, PMIC)

The computing section in a humanoid robot resembles a compact AI server: high current transients, high rail counts and dense layouts around APs, GPUs and NPUs. The typical applications include:

In this environment, ultra‑compact, ultra‑high‑capacitance MLCCs are used to:

Motor control and actuator drives (ECU domain)

Humanoid joints are driven by multiple actuators that see vibration, back‑EMF and elevated temperatures, especially in 48 V drive architectures. Typical applications include:

Samsung Electro‑Mechanics addresses this with high‑voltage, high‑reliability MLCCs (up to 100–125 V class) that can:

The lineup includes 1206 and 1210 case sizes with tailored bending strength options (general, soft‑term) for industrial and automotive applications.

Sensor power and signal integrity

Humanoid robots rely on dense arrays of vision, balance and tactile sensors that operate from low‑voltage rails and are highly sensitive to noise. Typical applications include:

The MLCCs in this section are optimized to:

Samsung Electro‑Mechanics focuses here on 0201 MLCCs with capacitances up to 10 µF in low voltage ratings suitable for sensor rails.

Technical highlights

Ultra‑compact MLCCs for computing modules

The table below summarizes the “all‑in‑one” MLCCs aimed at SoC‑centric computing modules.

Part numberSize (inch/metric)CapacitanceRated voltageTCCTypical location
CL03W106MS5C6W#0201 / 060310 µF2.5 VdcX6TDirectly beneath AI chipsets / sensors
CL05X476MS6N9W#0402 / 100547 µF2.5 VdcX6SGPU / NPU power rail decoupling
CL10X107MS8NZW#0603 / 1608100 µF2.5 VdcX6SPMIC output and main power sections

Placing 0201 MLCCs directly under the package minimizes inductance, which is crucial for limiting high‑frequency voltage ripple. Larger case sizes like 0603 provide high bulk capacitance, enabling replacement of parallel capacitor banks and freeing PCB area.

Dielectric and temperature characteristics

Ultra‑high‑capacitance MLCCs for fast transient performance

For applications where multiple joints move simultaneously and strict motion timing is required, Samsung Electro‑Mechanics highlights MLCCs with extremely high capacitance in 0805–1210 packages:

Part numberSize (inch/metric)CapacitanceRated voltageTCC
CL21X107MSYN3W#0805 / 2012100 µF2.5 VdcX6S
CL31X227MSKNNW#1206 / 3216220 µF2.5 VdcX6S
CL32X337MSVN4S#1210 / 3225330 µF2.5 VdcX6S
CL32Z227MSVN4S#1210 / 3225220 µF2.5 VdcX7T

In practice, these values allow the designer to:

X7T devices provide tighter capacitance stability over temperature, which is useful in environments with wider ambient variation; see the corresponding datasheets for detailed temperature characteristics.

High‑voltage, high‑reliability MLCCs for 48 V actuators

For motor control and actuator ECUs in harsh environments, Samsung Electro‑Mechanics offers 1206 and 1210 MLCCs rated up to 100–125 Vdc with enhanced bending strength.

1206 lineup (100 Vdc, 4.7 µF)

Part numberApplicationFeatureBending strength (typ.)Size (inch/metric)CapacitanceRated voltageTCC
CL31Y475KCK6NW#IndustrialGeneral1 mm1206 / 32164.7 µF100 VdcX7S
CL31Y475KCK64N#IndustrialSoft‑term3 mm1206 / 32164.7 µF100 VdcX7S
CL31Y475KCK6PN#AutomotiveGeneral3 mm1206 / 32164.7 µF100 VdcX7S

The soft‑term variants use terminations designed to enhance board‑level bending strength, helpful in assemblies where the PCB experiences flexing and vibration, such as joint‑integrated drive electronics.

1210 lineup (100–125 Vdc, 4.7–10 µF)

Part numberSize (inch)CapacitanceRated voltageTCCApplicationSoft‑termBending strength
CL32Z475KUJ6NW#12104.7 µF125 VdcX7TIndustrialNo
CL32Y106KCV6NW#121010 µF100 VdcX7SIndustrialNo
CL32Y106KCV64N#121010 µF100 VdcX7SIndustrialYes3 mm
CL32Y106KCV6PN#121010 µF100 VdcX7SAutomotiveNo3 mm
CL32Y106KCJ6PJ#121010 µF100 VdcX7SAutomotiveYes5 mm

These parts are intended for 48 V bus filtering, DC link stabilization and snubber / clamp functions in motor drives and actuators according to manufacturer datasheets. The higher bending strength options (up to 5 mm) are particularly relevant in automotive‑grade humanoid platforms and mobile robots.

Sensor MLCCs for compact, noise‑sensitive circuits

For sensors, Samsung Electro‑Mechanics focuses on ultra‑small 0201 MLCCs:

Part numberSize (inch/metric)CapacitanceRated voltageTCCTypical application
CL03X225MQ5N6W#0201 / 06032.2 µF6.3 VdcX6SSensor / logic decoupling
CL03X475MS3CNW#0201 / 06034.7 µF2.5 VdcX6SSensor / logic decoupling
CL03W106MS5C6W#0201 / 060310 µF2.5 VdcX6THigh‑density sensor rails

These are suitable for:

Source

This article is based on a Samsung Electro‑Mechanics product news release describing MLCC optimization for humanoid robot computing, motor control and sensor modules, complemented with independent editorial context for design engineers and buyers.

References

  1. Samsung Electro‑Mechanics – Robot Strategy as The Next AI Infrastructure: MLCC Optimization Focused on the Three Core Units—Computing, Motor Control, and Sensors
  2. Samsung Electro‑Mechanics MLCC product search
  3. Samsung Electro‑Mechanics MLCC component library
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