Monolithic Power Systems (MPS) :: Power Electronics, Motor Drivers & Sensing Solutions That Enable Efficient, High-Performance Robotic Motion

Monolithic Power Systems (MPS) is a leading fabless semiconductor company founded in 1997 and headquartered in Kirkland, Washington. The company designs and manufactures high-performance analog and mixed-signal power management integrated circuits. While Monolithic Power Systems does not build complete robots, it plays a critical supporting role in the robotics industry by supplying the power electronics, motor drivers, and sensing solutions that enable efficient, high-performance robotic motion.

Monolithic Power Systems has developed a strong focus on humanoid robotics and industrial automation. Their motor driver solutions are specifically optimized for the demanding requirements of humanoid robots, including dexterous hands that often use dozens of small coreless motors per hand. Key technologies include advanced Field-Oriented Control (FOC) motor controllers such as the MP6570, which integrates angle sensing and supports precise, high-speed operation in compact form factors. These solutions address the need for high power density, low heat generation, and accurate torque control in battery-powered and high-DOF robotic systems.

In addition to motor drivers, Monolithic Power Systems offers compact power stage ICs, magnetic position sensors, and current-sensing solutions tailored for robotics applications. These components support BLDC and PMSM motors used in joint actuation, locomotion, and manipulation. The company has published technical resources and webinars highlighting how their products help solve major challenges in humanoid robotics, such as power efficiency, precise multi-motor coordination, and safe human-robot interaction.

Beyond robotics, Monolithic Power Systems serves automotive, industrial, cloud computing, and consumer markets with a broad portfolio of DC-DC converters, LED drivers, and power modules. Their design approach emphasizes energy efficiency, small solution size, and ease of use, which aligns well with the needs of next-generation autonomous systems.