LG Innotek is collaborating with global electronics company TDK to develop high-performance sensing solutions for robots.
On July 28, LG Innotek announced a strategic partnership with TDK in the field of physical artificial intelligence (AI). The strategy aims to leverage TDK's sensor portfolio combined with LG Innotek's optical and ultra-precision design capabilities.
TDK, headquartered in Japan, is a top-tier global company in the sensor field, possessing a wide range of sensor technologies essential for physical AI, including inertial, position, pressure, and temperature sensors.
LG Innotek is advancing preliminary research to integrate TDK's inertial and position sensors and microphones into its vision sensing modules. The next-generation vision sensing module will enhance the recognition performance of robots by processing movement, direction, and sound data, in addition to visual information.
By incorporating TDK's inertial measurement unit (IMU), the module will correct the shaking of image data generated during robot movement, ensuring accurate recognition. This multifunctional integration will significantly reduce the burden on robot manufacturers regarding the supply and connection of individual sensors. The first product featuring the inertial sensor is expected to be commercialized in 2027.
Additionally, a 'tactile sensing module,' which acts as the skin for robots, will also be jointly developed with a target completion date of 2027. This high-value component will be installed on the robot's hands, arms, and body to delicately recognize contact and pressure. Given the high technical difficulty required for ultra-precision, ultra-thin, and flexible structures, LG Innotek's modularization and digital signal processing technology will be combined with TDK's ultra-precision tactile sensing technology.
Moon Hyuk-soo, President of LG Innotek, emphasized, "Multi-sensing, which combines various sensors in the robotics field, is emerging as a key focus. Through our collaboration with TDK, we aim to lead the ecosystem of core components for robots and accelerate our entry into the physical AI market."
* This article has been translated by AI.
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