Itthisek Nilkhamhang
Papers
14
Total Citations
171
H-Index
7
About
Itthisek Nilkhamhang is a robotics researcher whose work spans human-robot interaction, autonomous mobile robotics, and underwater vehicle control. His most influential contributions center on making robots socially intelligent and physically capable in dynamic, human-populated environments. His 2019 paper "Learning Proxemics for Personalized Human–Robot Social Interaction," his most cited work with 61 citations, introduced data-driven approaches to enable robots to adapt their spatial behavior to individual users—a significant step toward natural, culturally aware robot companions. This builds on his earlier exploration of the Social Force Model for mobile robot navigation (2016) and culture-sensitive interaction modeling (2017). Nilkhamhang has also made notable contributions to underwater robotics, developing adaptive backstepping sliding-mode controllers and robust adaptive algorithms for remotely operated vehicles, addressing the complex challenges of hydrodynamic disturbance and trajectory tracking. His work on autonomous mobile platforms with Mecanum wheels and computer vision-based control demonstrates a commitment to practical, deployable robotic systems. With research spanning social intelligence, multi-robot formation control, and marine robotics, Nilkhamhang represents a versatile and technically rigorous voice in modern robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1Learning Proxemics for Personalized Human–Robot Social Interaction61 citations · 2019
- 2Mobile robot navigation for human-robot social interaction21 citations · 2016
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- 4Development of Autonomous Mobile Robot Platform with Mecanum Wheels13 citations · 2019
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- 10Learning social relations for culture aware interaction6 citations · 2017