Dandan Hu

Civil Aviation University of China, United States Government Accountability Office

Papers

Total Citations

H-Index

About

Dandan Hu is a robotics researcher whose work focuses on autonomous navigation, computer vision, and human-robot interaction. Her key contributions span three critical areas: path planning for industrial inspection robots, long-term tracking for unmanned aerial vehicles (UAVs), and emotion-aware decision-making in social robots. Her most cited paper, "Path-tracking Algorithm for Aircraft Fuel Tank Inspection Robots" (2014, 12 citations), introduces a novel 3D path-tracking algorithm using end-point approximation, enabling robots to navigate complex, confined spaces for safety-critical inspections. She also advanced UAV tracking with a Camshift-based method fusing color and edge features, addressing the challenge of long-term ground target tracking in real-time aerial robotics competitions. In unstructured indoor environments, Hu developed a vision-based localization system combining optical flow and linear feature correction for quadrotors, enhancing autonomy without GPS. Her work on robot emotion generation (2011, 3 citations) models personality-to-emotion mappings, making human-robot communication more natural. With a total of 22 citations across her most-cited works, Hu's research demonstrates a unique blend of practical industrial applications and socially intelligent robotics, contributing to both autonomous systems and affective computing.