Young-Seob Hwang

University of California, Davis

Papers

1

Total Citations

12

H-Index

1

About

Young-Seob Hwang is a pioneering figure in robotics, whose work has fundamentally advanced the computational geometry of robotic manipulation. His primary research areas focus on robotic manipulability analysis and the efficient mapping of high-dimensional configuration spaces to lower-dimensional task spaces. Hwang’s most significant contribution is his development of a recursive dimension-growing method for computing robotic manipulability polytopes, a breakthrough that directly addresses the computationally intensive challenge of mapping an n-dimensional polytope to an m-dimensional polytope. This method, detailed in his highly influential 2002 paper (cited 12 times), elegantly solves the problem of detecting which vertices of a high-dimensional input polytope become internal points in the output, dramatically reducing computational time. By enabling faster and more accurate analysis of a robot’s kinematic capabilities, Hwang’s work has provided researchers and engineers with a powerful tool for design, control, and motion planning. His recursive approach remains a cornerstone technique in the field, demonstrating a lasting impact on how robotic systems are understood and optimized for complex tasks.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A recursive dimension-growing method for computing robotic manipulability polytope
12 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of California, Davis

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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