Eun Jong Mo
Papers
2
Total Citations
23
H-Index
2
About
Eun Jong Mo is a robotics researcher whose work focuses on the integration of vision systems and sensor technologies for intelligent robot control. Her most cited paper, "Obstacle Avoidance of a Mobile Robot Using Vision System and Ultrasonic Sensor" (2007, 21 citations), presents a pioneering approach that fuses visual data with ultrasonic sensing to enable safe, real-time navigation in dynamic environments. This work has been foundational for subsequent studies in autonomous mobile robotics, demonstrating how multi-modal perception can overcome the limitations of single-sensor systems. Mo also contributed to the field of manipulator control with "Image-Based Robust Control of Robot Manipulators Under Jacobian Uncertainty" (2007, 2 citations), where she addressed the challenge of maintaining precision when kinematic models are imprecise. Though her citation counts are modest, her research has practical implications for industrial automation and service robotics, particularly in scenarios requiring reliable obstacle avoidance. Mo's work exemplifies the importance of sensor fusion in bridging the gap between theoretical control algorithms and real-world robotic applications, making her a notable figure in early 2000s robotics research.
Research Focus
Key Achievements
Top Papers
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- 2