Young-Mok Koo

About

Young-Mok Koo is a robotics researcher whose work centers on human-robot interaction, intelligent motion control, and precision manipulation. His major contributions lie in developing robust voice recognition control systems for mobile robots, enabling reliable operation in noisy environments—a critical challenge for real-world deployment. His 2015 study on voice-commanded mobile robot control (9 citations) demonstrates how adult and child speech can be effectively recognized for navigation, while his 2014 work on two-wheel driving robots (6 citations) integrates posture-based motion control with voice commands. Koo has also advanced visual servoing for SCARA robot arms (6 citations, 2015), showing how increasing feature points improves control accuracy through image Jacobian analysis. Additionally, his research on robotic hands with ten joints (2 citations, 2014) addresses miniaturization and cabling challenges for cooperative grasping. Though his citation counts are modest, Koo’s work represents foundational steps in making robots more responsive and dexterous through multimodal control—bridging voice, vision, and tactile feedback—which is essential for assistive and collaborative robotics applications.

Research Focus

Key Achievements

Top Papers

1. 1
   A study on travelling control of Mobile robot by voice commend

   9 citations · 2015
2. 2
   An intelligent motion control of two wheel driving robot based voice recognition

   6 citations · 2014
3. 3
   A study on visual feedback control of SCARA robot arm

   6 citations · 2015
4. 4
   A study on gripping control of robotic hand with ten joints for cooperative working

   2 citations · 2014

Key Collaborators

Contact & Links