Yujing Chen
Papers
1
Total Citations
9
H-Index
1
About
Yujing Chen is a robotics researcher whose work centers on human-aware navigation and autonomous systems for complex indoor environments. Her key contributions lie in enabling mobile robots to safely and efficiently navigate multi-floor buildings, with a particular focus on the challenging task of using elevators—a critical capability for service robots in real-world settings. In her most-cited work, "A Human-Aware Robotic System for Mobile Robot Navigating in Multi-Floor Building with Elevator" (2019, 9 citations), Chen addresses the difficulties of map transitions and elevator state detection, while prioritizing human safety in confined elevator spaces. This research is notable for its practical approach to integrating 2D map alignment with human-robot interaction, paving the way for robots that can operate seamlessly alongside people in shared vertical environments. Chen’s work exemplifies the intersection of robotics, human factors, and environmental perception, making her a rising voice in the field of autonomous navigation. Her contributions are particularly relevant for students and researchers interested in developing robots that are not only technically capable but also socially aware and safe in everyday human spaces.
Research Focus
Key Achievements
Top Papers
- 1