Youchen Wang

Beihang University, Beijing Information Science & Technology University

Papers

Total Citations

H-Index

About

Youchen Wang’s research centers on two pivotal areas in robotics and computer vision: **camera-based localization** and **robotic assembly automation**. His most impactful work, “A Critical Analysis of Image-based Camera Pose Estimation Techniques” (2023), has garnered 44 citations, establishing him as a thoughtful voice in the field. In this survey, Wang systematically evaluates methods for determining a camera’s position and orientation relative to its environment—a core challenge for autonomous driving, robot navigation, and augmented reality. By dissecting evaluation metrics and application-specific requirements, he provides a crucial roadmap for practitioners seeking robust localization solutions. Wang also tackles the practical, high-stakes problem of industrial assembly. His 2025 paper on “Robotic Peg-in-Hole Assembly Based on Variable Admittance” introduces an adaptive control strategy that intelligently adjusts robot compliance during insertion, dramatically improving efficiency in tasks where traditional methods struggle with contact-state identification. This work bridges theoretical control theory with real-world manufacturing needs. With a total of over 50 citations across his publications, Wang demonstrates both breadth and depth—from foundational surveys to applied robotics. His contributions are particularly valuable for researchers and engineers working at the intersection of perception and manipulation, where precise spatial understanding meets dexterous physical interaction.