Seung-Suk Ha

Papers

Total Citations

H-Index

About

Seung-Suk Ha is a robotics researcher specializing in biped locomotion and human-inspired motion generation for robotic systems. His work centers on bridging the gap between natural human movement and the mechanical realities of bipedal robots, with a particular focus on developing adaptive gait pattern generation methodologies that produce stable, lifelike locomotion. Ha's most significant contribution lies in his systematic approach to analyzing human gait patterns and translating them into applicable frameworks for biped robots. His 2007 paper on adaptive gait pattern generation, which has garnered 30 citations, introduced a method leveraging human motion analysis to synthesize natural and stable walking patterns transferable across different robot platforms — a notably flexible and practical advancement in the field. Building on this foundation, his subsequent 2008 works refined these techniques further, incorporating captured human motion imagery and biomechanical parameters such as joint torque in the sagittal plane and Zero Moment Point (ZMP) analysis in the frontal plane as optimization criteria. With a cumulative body of work earning over 40 citations, Ha has made meaningful contributions to humanoid robotics research, offering the robotics community accessible, biologically grounded tools for improving robot mobility and natural movement replication.