Robotics and the New Demands on Motion-Control Power Design
2024 marked the fourth straight year in which industrial robot installations exceeded 500,000 units1. While the growth in operational stock is certainly impressive, the evolution of robotic capabilities is arguably the more important story and a key driver of the expansion of robotic fleets.
As robotic systems become more compact, mobile and capable, and therefore deployable across more environments, their motion-control electronics must deliver precise movement, high power density and efficient operation within increasingly restricted mechanical and thermal limits.
Gallium nitride (GaN) can give engineers new ways to meet these requirements by enabling reductions in the size and losses of motor-control electronics or the use of higher switching frequencies where they provide an application benefit. However, while the device provides the potential, its value depends on much more than the transistor. The motor, inverter, sensing, control, communications, protection, and cooling must all operate as a single system.
Robotics Is Changing the Motor-Control Brief
A robotic motor drive sits at the point where electrical energy becomes physical movement. Its performance directly affects how accurately the robot can control position, speed, and torque, but the inverter is only one part of the complete motion-control chain.
In densely packaged robotic systems, the power electronics may operate close to microcontrollers, current and position sensors, protection elements, communications and auxiliary power hardware. Keeping time-critical control close to the motor can reduce latency and avoid sending high-rate raw feedback across the wider network, but it also places more electronics within the joint or actuator, where board area, airflow and opportunities to remove heat may be limited.
Furthermore, the challenge changes with the application. Fixed industrial robots are typically designed for repeatability, reliability, and continuous operation, with greater packaging freedom, while collaborative robots add requirements for size, quiet operation, and safe interaction. Mobile robots must also manage battery capacity and weight.
Humanoids bring many of these pressures together across numerous tightly packaged joints. As the number of axes increases, the losses, wiring, and thermal demands associated with each motor controller can accumulate across the platform, making motor control as much an integration problem as an electrical one.
Where GaN Creates Useful Design Headroom
This is where GaN can become particularly useful. Low gate and output charge can reduce switching losses, while the absence of a silicon MOSFET body diode avoids the associated reverse-recovery charge. These characteristics give engineers more freedom to balance efficiency, switching frequency, and power-stage size where an inverter must fit close to the motor and its heat must be managed within a restricted volume.
The system benefit will depend on what constrains the actuator. A smaller power stage can create room for control electronics, sensing or mechanical components, while lower losses can ease cooling requirements and preserve more of the available power budget. In battery-powered robots, this may contribute to longer operating time, although the effect will depend on the inverter’s share of total energy consumption relative to the motors, computing, and other subsystems.
Voltage requirements vary widely across robotics. Compact humanoid joints and some collaborative or mobile platforms may use 48 to 60 V buses with 80 to 100 V-class switches, while industrial servo architectures can operate from DC links of several hundred volts and require high-voltage devices, commonly 650 V or above, depending on the supply. These are distinct GaN applications, with different devices, packaging, gate-drive and thermal requirements.
Engineers must also decide how much of the power stage to integrate. A discrete design keeps the switches, gate driver and protection separate, providing greater freedom over switching and thermal behaviour. Integrated power stages combine these functions to reduce sensitive loop lengths, PCB area and layout work, while modules can integrate multiple switches and supporting functions. The appropriate route depends on current, cooling, available volume, electromagnetic compatibility, protection and manufacturing priorities.
The Switching Frequency Still Has to Serve the Motor
GaN’s low switching losses can make higher pulse-width modulation (PWM) frequencies more practical in robotic drives. This can reduce phase-current ripple for smoother torque and more predictable low-speed movement, while moving switching noise beyond the audible range can reduce motor whine.
However, the useful PWM frequency is determined by the overall motor control system rather than by the switching capability of the GaN device alone.
STMicroelectronics reports that current humanoid joint designs often operate between 20 and 60 kHz, with some compact or highly dynamic joints operating between 40 and 100 kHz2. These ranges reflect the motor characteristics, sensing and processing constraints, and required control response, rather than a frequency limit or efficiency optimum inherent to GaN. The appropriate PWM frequency must therefore be established at the system level.
Raising the frequency beyond what the application needs increases total switching losses and power-stage heat, even where GaN reduces the energy lost during each transition. It also reduces the time available to acquire reliable current measurements. Switching-edge speed creates a related but separate trade-off: faster transitions can reduce switching loss, but parasitic inductance can cause overshoot, ringing, and electromagnetic interference (EMI), potentially increasing electrical stress on the motor windings and interconnect.
Engineers can therefore use GaN’s switching headroom selectively, choosing a PWM frequency that benefits motion while tuning the gate drive to manage each transition. Increasing the turn-on gate resistance can reduce the rate of voltage change and EMI, although the longer transition increases switching loss. Short gate-drive and power loops, controlled parasitic inductance and validation of the complete measurement chain remain essential.
Turning GaN Capability into Better Motion
The strength of GaN in robotics is the design flexibility created by lower switching losses, compact power-stage options, and the ability to use higher PWM frequencies where they improve the application. That does not mean every axis needs the same technology or architecture. GaN creates the most value when it addresses a defined electrical, thermal, or mechanical constraint within the robot.
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Robotics overview
Robotic systems are transforming manufacturing, logistics and healthcare, increasing automation, consistency and operational efficiency across industrial and service-sector applications.

Engineers should therefore focus on three connected decisions:
- Match GaN to the application and operating envelope - Define whether the objective is to reduce inverter size or losses, improve motion quality, enable quieter operation, or ease a cooling constraint. Bus voltage, continuous and peak current, duty cycle, PWM frequency, cooling and available volume can then determine the appropriate device, package and level of integration.
- Design the surrounding system with the power stage - The motor, gate drive, PCB layout, current sensing, ADC timing, and control algorithm must work together. Switching transitions and parasitic inductance must be controlled, while communications, protection, and fault response must also fit within the space and thermal budget.
- Prove the benefit across the real duty cycle - GaN should be compared with the best practical alternative across the relevant speed and torque range. Power-stage and motor temperatures, current quality, audible noise, EMI, and fault behaviour will indicate whether the design improves the robot or simply shifts complexity elsewhere.
Applied in this way, GaN can support smaller, more efficient, and more responsive robotic drives without requiring the same solution for every joint.
Conclusion
Used effectively, GaN can help designers meet the demands of each actuator. Realising that potential means matching its capabilities to the relevant motion, electrical, and thermal requirements.
Avnet Silica brings together GaN devices and supporting technologies from multiple suppliers, helping engineers select the right architecture and integrate it across the motion-control system. The objective is not to build the fastest-switching robotic drive. It is to use GaN where its capabilities can deliver better motion within the robot’s electrical, thermal, and mechanical limits.
[1] https://ifr.org/ifr-press-releases/news/global-robot-demand-in-factories-doubles-over-10-years
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