Papers
11
Total Citations
103
H-Index
6
About
Yinghua Xue is a robotics and intelligent systems researcher whose work centers on service robotics, autonomous navigation, intelligent space design, and automated warehouse systems. With a career spanning the early 2010s, Xue has made notable contributions to how robots perceive, navigate, and operate within complex real-world environments. Among Xue's most influential contributions is a novel object search and recognition framework using artificially designed markers in complex indoor settings, which has garnered 26 citations and laid groundwork for practical robot perception. Complementing this, Xue pioneered intelligent storage and retrieval systems that fuse RFID technology with computer vision to enable efficient, robot-driven warehouse automation — work that has collectively attracted over 30 citations across multiple publications. Xue's research on intelligent home spaces integrates wireless sensor networks and multi-pattern information models to enable lightweight service robots to operate reliably in domestic settings. His path planning research, employing a modified particle swarm optimization algorithm and a novel "danger degree map" environment model, offers practical solutions for safe mobile robot navigation in partially unknown environments. Altogether, Xue's body of work bridges perception, localization, and autonomous decision-making, making meaningful contributions to the field of intelligent robotics with real-world applications in logistics and assistive home technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Optimal Path Planning for Service Robot in Indoor Environment10 citations · 2010
- 5
- 6
- 7
- 8Optimal robot path planning based on danger degree map5 citations · 2009
- 9An Optimal and Safe Path Planning for Mobile Robot in Home Environment3 citations · 2011
- 10