Chieh-Chih Wang

National Taiwan University, Institute of Information Science, Academia Sinica

Papers

Total Citations

116

H-Index

About

Chieh-Chih Wang is a leading figure in robotics and computer vision, renowned for tackling fundamental challenges in perception and human-robot interaction. His research focuses on robust sensor processing, 3D modeling, and real-time ego-motion estimation. Wang’s seminal work, “Dealing with laser scanner failure: Mirrors and windows” (53 citations), pioneered solutions for a critical, underexplored problem—enabling robots to navigate environments with reflective and transparent surfaces, a common yet previously neglected obstacle. He further advanced state estimation with “RANSAC matching: Simultaneous registration and segmentation” (38 citations), introducing a robust algorithm that overcomes the limitations of traditional ICP by simultaneously performing registration and segmentation, achieving real-time performance even in the presence of outliers. In the realm of human-robot interaction, Wang’s “3D active appearance model for aligning faces in 2D images” (25 citations) extended the powerful AAM framework into three dimensions, significantly improving face alignment accuracy for interactive systems. Through these contributions, Wang has demonstrated a consistent ability to identify and solve practical, high-impact problems in perception, leaving a lasting mark on how robots perceive and interact with the world.