Soo Chan Hwang
Papers
2
Total Citations
23
H-Index
2
About
Soo Chan Hwang is a robotics researcher whose work bridges perception and control, with a particular focus on enabling autonomous systems to navigate and manipulate their environments safely. His most influential contribution, "Obstacle Avoidance of a Mobile Robot Using Vision System and Ultrasonic Sensor" (2007, 21 citations), demonstrates a pioneering integration of visual and ultrasonic sensing for real-time navigation—a foundational approach that has informed subsequent work in sensor fusion for mobile robotics. In parallel, his research on "Image-Based Robust Control of Robot Manipulators Under Jacobian Uncertainty" (2007, 2 citations) addresses a critical challenge in visual servoing: maintaining precise control when the robot's kinematic model is uncertain. This work contributes to the broader field of robust control theory for robotic systems. While his citation counts reflect a focused, early-career impact, Hwang’s contributions are notable for their practical emphasis on combining vision and sensing for reliable robot behavior, offering valuable insights for students and researchers working on autonomous navigation and manipulator control.
Research Focus
Key Achievements
Top Papers
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- 2