Max Robotics — Global Service Robot Directory + US Certification

About

Yeongseok Lee is a robotics researcher whose work spans autonomous driving perception, prosthetic innovation, and compact actuation systems. His most impactful contribution is the **MSC-RAD4R dataset**, a ROS-based automotive dataset featuring 4D radar data. With 37 citations, this work addresses a critical gap in autonomous driving research—providing high-resolution radar data with robust odometry sensors, enabling more reliable navigation in extreme weather conditions where cameras and LiDAR often fail. Lee also made significant strides in assistive technology with the **MSC Prosthetic Hand** (22 citations), a robotic hand designed to be rapid, powerful, and intuitive, directly tackling the weight and control challenges faced by amputees. Further demonstrating his versatility, he explored **twisted string actuation** for compact automatic transmissions, expanding the speed-force operating range of small robotic systems. His work on developing a ROS-based small unmanned platform for autonomous driving datasets, adaptable to various places and weather conditions, underscores his commitment to practical, real-world robotics. Lee’s research elegantly bridges hardware innovation and software development, from prosthetic hands to self-driving cars, marking him as a rising figure in robotics engineering.