Max Robotics — Global Service Robot Directory + US Certification

About

Jeonguk Kang is a leading researcher in the field of legged robotics, with a primary focus on external force estimation, adaptive control, and sensorless interaction for quadruped systems. His work addresses a critical challenge in robotics: enabling legged robots to perceive and respond to environmental forces without relying on costly, maintenance-intensive force/torque sensors. Kang’s most influential paper, “VIEW: Visual-Inertial External Wrench Estimator for Legged Robot” (2023, 14 citations), introduces a novel sensorless framework that fuses visual and inertial data to estimate external wrenches, significantly advancing the practicality of interactive tasks. He further extends this work with “External Force Adaptive Control in Legged Robots Through Footstep Optimization and Disturbance Feedback” (2024, 8 citations), which integrates disturbance feedback into robot dynamics for robust, real-time response to external forces. His innovative use of a factor graph framework with a disturbance observer (2023, 8 citations) provides a principled method for force estimation in complex, unstructured environments. Most recently, Kang has applied his expertise to practical industrial challenges, developing a remote piping inspection system using a dual-mode locomotion quadruped robot (2025). With over 30 total citations and a clear trajectory toward real-world deployment, Kang is shaping the future of resilient, sensor-efficient legged robots for exploration and interaction.