Max Robotics — Global Service Robot Directory + US Certification

About

Yaowei Song is a researcher advancing the frontiers of humanoid robotics and human-robot interaction, with a focus on creating safer, more dexterous, and more adaptable robotic systems. Their work centers on three key areas: flexible actuation, sensitive collision detection, and novel mechanical design for humanoid limbs. A major contribution is the development of a dynamic feedforward second-order generalized momentum algorithm for flexible cooperative joints, which enables more sensitive and rapid collision detection during human-robot interaction—critical for safety in collaborative environments. Song has also made significant strides in mechanical design, proposing a novel 3-DOF cable-driven series-parallel wrist module for humanoid arms, which mimics human size and dexterity, and a cable-driven elbow joint module that prioritizes lightweight, flexible, and expandable structures for service robots. Their most-cited work, an all-3D-printed ready-to-use flexible electroadhesion pad (11 citations), demonstrates a practical, low-cost approach to robotic gripping. With a growing citation record, Song’s innovations in cable-driven mechanisms and collision detection are laying the groundwork for the next generation of humanoid service robots that can work safely and effectively alongside people.