Dong-Ok Kim
Papers
2
Total Citations
6
H-Index
2
About
Dong-Ok Kim is a robotics researcher whose work focuses on autonomous navigation, human-robot interaction, and assistive mobility systems. His most notable contribution is the development of an obstacle-dependent Gaussian potential field method for local obstacle avoidance, introduced in his 2016 paper, which provides a computationally efficient and smooth path-planning solution for dynamic environments such as robot soccer. This work, cited 4 times, has been influential in advancing real-time collision avoidance in multi-agent robotic systems. Kim also conducted a survey study on omni-wheel drive rider robots for disabled and elderly individuals, highlighting his commitment to accessible assistive technology. Although his citation counts are modest, his research bridges practical robotics challenges with social impact, particularly in autonomous driving for vulnerable populations. His work has been presented at international conferences and contributes to the growing field of service robotics, where safe and reliable navigation remains a critical priority.
Research Focus
Key Achievements
Top Papers
- 1
- 2