Jun-Seok Yang

About

Jun-Seok Yang is a robotics researcher focused on intelligent control systems for mobile robots and robotic manipulators. His work centers on integrating multi-modal sensing—including voice recognition and sonar—to enable more natural and autonomous robot behaviors. In his 2014 study on two-wheel driving robots, Yang developed a voice recognition control system that robustly interprets motion-related sound patterns, allowing robots to be guided by spoken commands. This work has garnered 6 citations. He further advanced mobile robot navigation in his 2015 paper on sonar-based control, where he implemented wall-following and fuzzy perception algorithms on the non-holonomic robot KHAN-Robo, earning 4 citations. Yang also contributed to dexterous manipulation with his 2014 study on a ten-joint robotic hand, addressing challenges in gripping control and cable reduction for cooperative tasks (2 citations). His research bridges practical sensing and control, with potential applications in assistive robotics and industrial automation.

Research Focus

Key Achievements

Top Papers

1. 1
   An intelligent motion control of two wheel driving robot based voice recognition

   6 citations · 2014
2. 2
   A travelling control of mobile robot based on sonar sensors

   4 citations · 2015
3. 3
   A study on gripping control of robotic hand with ten joints for cooperative working

   2 citations · 2014

Key Collaborators

Contact & Links