Minseok Choi

Seoul National University, Hanyang University

Papers

Total Citations

H-Index

About

Minseok Choi is a leading researcher in geometric filtering and cooperative robotics, with a primary focus on estimation and control for systems evolving on non-Euclidean manifolds. His most impactful work, "Particle filtering on the Euclidean group: framework and applications" (2007, 64 citations), pioneers a coordinate-invariant generalization of the Liu-West particle filter for stochastic nonlinear systems on SE(3). This framework enables simultaneous state and covariance estimation for rigid-body motion, a critical contribution for applications in robotics, aerospace, and computer vision. Choi’s approach elegantly handles the geometric constraints of the Euclidean group, offering a principled alternative to ad-hoc filtering methods. Additionally, his work on "Cooperative Path planning for Redundant Dual-arm robot Using Low-dimensional Sample-based algorithm" (2010) explores sample-based planning for redundant manipulators, addressing the challenge of high-dimensional configuration spaces. While his citation record highlights the foundational nature of his SE(3) particle filter, his broader research demonstrates a commitment to advancing estimation theory and practical robotic systems. Choi’s contributions are essential reading for anyone working on filtering, state estimation, or motion planning in geometrically complex environments.