Papers
2
Total Citations
7
H-Index
2
About
Nam Soo Park is a robotics researcher whose work focuses on the foundational challenges of robotic assembly and manipulation, particularly in bimanual and discrete-event systems. His key research areas include task-level modeling, motion planning, and adaptive control for assembly processes. Park’s most notable contribution is the development of a task-compatibility-based motion planning framework for bimanual assembly, which bridges the gap between high-level symbolic task transitions and low-level velocity commands. This work, published in 2006, has garnered 5 citations and provides a systematic method for coordinating two robotic arms during complex assembly tasks. Additionally, Park pioneered the use of augmented Petri nets to model robotic assembly as a discrete event dynamic system, where primitive contacts between workpieces—such as vertex-edge relations—are used to define and transition between assembly states. This adaptive modeling approach, published in 2007, offers a formal, scalable way to represent and control assembly processes. Though his citation counts are modest, Park’s contributions are foundational, providing rigorous mathematical frameworks that underpin modern robotic assembly planning and control.
Research Focus
Key Achievements
Top Papers
- 1Task-Compatibility-Based Motion Planning for Bimanual Assembly5 citations · 2006
- 2Adaptive Modeling of Robotic Assembly Using Augmented Petri Nets2 citations · 2007