Yong-Guen An

Papers

Total Citations

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About

Yong-Guen An is a robotics researcher whose work focuses on real-time motion planning and obstacle avoidance for mobile robots operating in three-dimensional environments. His most-cited paper, "Real-time obstacle avoidance of mobile robots" (2007, 7 citations), introduces a formulation for navigating spherical, omni-directional robots through workspaces cluttered with point-based obstacle data—a common representation from sensor inputs. This contribution addresses a fundamental challenge in autonomous navigation: enabling robots to reactively avoid obstacles in dynamic, unstructured spaces without pre-mapped trajectories. By assuming a spherical robot geometry and leveraging point cloud data, An’s method bridges the gap between theoretical path planning and practical sensor integration, offering a computationally efficient solution for real-time applications. While his citation count reflects a focused, specialized impact, the work remains relevant for researchers developing reactive control systems in robotics, particularly those dealing with 3D obstacle avoidance from raw sensor streams. An’s approach exemplifies the practical engineering mindset needed to translate algorithmic concepts into deployable robotic behaviors, making his research a useful reference for students and engineers working on autonomous navigation in cluttered environments.