Papers
2
Total Citations
45
H-Index
2
About
Choonsoo Park is a roboticist whose research focuses on motion planning and manipulation in complex, cluttered environments. His work addresses the fundamental challenge of enabling robots to perform dexterous tasks—such as sequential acyclic contacts—while navigating around obstacles. Park’s most influential contribution, "A Reachability-Based Planner for Sequences of Acyclic Contacts in Cluttered Environments" (2017, 31 citations), introduces a novel planner that leverages reachability analysis to generate feasible contact sequences, a critical capability for tasks like assembly or grasping in tight spaces. This work has been recognized for its practical impact on robotic manipulation. Additionally, his 2015 paper on parallel Cartesian planning (14 citations) presents an efficient algorithm for redundant robot arms, pre-computing roadmaps that account for static obstacles and singularities to enable real-time trajectory planning in dynamic settings. By combining theoretical rigor with algorithmic efficiency, Park’s research advances the state of the art in autonomous robotic manipulation, offering scalable solutions for industrial and service robotics. His work continues to influence researchers developing robust planners for real-world applications.
Research Focus
Key Achievements
Top Papers
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