Dugki Min
Papers
7
Total Citations
39
H-Index
4
About
Dugki Min is a leading researcher in robotics and autonomous navigation, with a focus on human-robot interaction and intelligent mobile systems. His work bridges the gap between human behavior and robotic control, notably through his highly cited 2011 study on behavioral synchronization between humans and humanoid robots, which captured real-time human postures using Kinect sensors to achieve seamless interaction. Min has made significant contributions to indoor self-driving technology, developing innovative frameworks like SLAM-DRLnav and iNAV-drlSLAM that integrate Simultaneous Localization and Mapping with Deep Reinforcement Learning, enabling robots to navigate dynamic environments while avoiding obstacles. His research on remote control systems for user-created robots and energy-efficient routing in sensor networks demonstrates a commitment to practical, accessible robotics. With over 39 citations across his most-cited works, Min’s impact is evident in advancing reliable teleoperation and autonomous navigation. His recent work on multi-head fusion-based actor-critic DRL with memory contextualization, published in 2025, pushes the boundaries of end-to-end autonomous navigation in cluttered spaces, solidifying his reputation as an innovator in robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1Behavioral synchronization of human and humanoid robot15 citations · 2011
- 2
- 3
- 4
- 5
- 6
- 7