Max Robotics — Global Service Robot Directory + US Certification

About

Jaeuk Cho is a rising robotics researcher whose work focuses on the cutting edge of legged locomotion and physical human-robot interaction (pHRI). His primary research areas include model predictive control (MPC) for dynamic robots, impedance and admittance control, and sensorless interaction strategies for social robots. Cho’s major contributions are twofold: he has advanced the stability and autonomy of bipedal and quadrupedal running robots by integrating MPC with gait optimization and impedance control, enabling high-speed locomotion over complex terrains. Simultaneously, he has pioneered sensorless variable admittance control for dual-arm social robots, allowing them to perform intuitive, safe physical gestures without relying on external force sensors—a significant step toward more natural human-robot collaboration. With over 38 citations across his most-cited works, his 2022 paper on MPC for running bipeds (17 citations) and his 2023 work on sensorless admittance control (14 citations) have already established him as a notable voice in the field. His 2025 paper on high-speed quadrupedal running further underscores his trajectory toward solving real-world robotic mobility challenges.