Jargalbaatar Yura
Papers
8
Total Citations
56
H-Index
5
About
Jargalbaatar Yura is a robotics researcher whose work spans smart grid inspection, socially aware navigation, and artistic robot performance. His most-cited paper, “Inspection Robot Based Mobile Sensing and Power Line Tracking for Smart Grid” (18 citations), addresses illegal electricity usage detection through remote current measurement on overhead power lines, contributing to smart grid security. Yura has made significant advances in human-robot interaction, notably with his “Transformable Gaussian Reward Function for Socially Aware Navigation Using Deep Reinforcement Learning” (8 citations), which enables robots to navigate dynamic, human-centric environments by respecting personal space and social norms. His “Social Type-Aware Navigation Framework” (5 citations) further refines this, tailoring robot behavior to individual human characteristics. Yura also leads an innovative line of work on a violin-playing robot, with papers on sound quality improvement (8 citations), arm modeling, auditory feedback, and a robotic finger with a 3-axis load cell. These projects demonstrate his ability to bridge engineering precision with artistic expression. With a total of over 50 citations across his publications, Yura’s research is steadily gaining recognition for its practical impact on service robotics, smart infrastructure, and socially intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1Inspection Robot Based Mobile Sensing and Power Line Tracking for Smart Grid18 citations · 2016
- 2
- 3A Study about Sound Quality for Violin Playing Robot8 citations · 2015
- 4Modeling of Violin Playing Robot Arm with MATLAB/SIMULINK7 citations · 2016
- 5
- 6Sound Improvement of Violin Playing Robot Applying Auditory Feedback4 citations · 2017
- 7
- 8