Soonwoong Hwang
Papers
6
Total Citations
115
H-Index
6
About
Soonwoong Hwang is a robotics researcher whose work has made meaningful contributions to the fields of robot manipulator design optimization and motion planning. His research focuses on developing systematic methodologies to enhance the kinematic and structural performance of robotic systems, particularly multi-degree-of-freedom manipulators. Hwang is perhaps best recognized for his work on 7 DOF robot manipulator design, where he applied performance indices—including global conditioning, global manipulability, and structural length—to rigorously optimize robot configurations. His 2017 paper on this topic has garnered 43 citations, reflecting its influence within the robotics community. Equally impactful is his research on dual-arm robot motion planning using B-spline curves for collision avoidance, which has accumulated 41 citations and demonstrates his commitment to practical, real-world robotic applications. Earlier in his career, Hwang pioneered the use of the Grey-based Taguchi method for multi-objective robot design optimization, a computationally efficient approach that remains a notable methodological contribution. His work on service robot grippers, incorporating miniaturized fingertip pressure sensors, further highlights his versatility in addressing both industrial and domestic robotics challenges. Collectively, his body of work reflects a sustained dedication to advancing intelligent, optimized robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2Dual-arm robot motion planning for collision avoidance using B-spline curve41 citations · 2017
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- 6Development of the robot gripper for a home service robot7 citations · 2009