Lixia Deng
Papers
4
Total Citations
15
H-Index
2
About
Lixia Deng is a robotics and autonomous systems researcher whose work spans mobile robot navigation, path planning, and intelligent human-machine interaction. With a career bridging algorithmic innovation and practical robotic applications, Deng has made meaningful contributions to how robots perceive, plan, and operate in dynamic environments. Among her most recognized contributions is her application of a Polyclonal-based Artificial Immune Network (PC-AIN) to mobile robot path planning, addressing key limitations in conventional artificial immune network approaches such as premature convergence. Her 2020 work on an improved Dynamic Window Approach within ROS demonstrates her continued commitment to refining local path planning for real-world deployment. Deng has also explored human-robot interaction through leader recognition and tracking systems for quadruped robots, combining laser scanning and retro-reflective marker technologies to enable responsive autonomous following behaviors. More recently, her research has extended into machine vision-guided robotic grasping, reflecting the growing demand for intelligent manipulation in industrial settings. While her citation counts remain modest — her most-cited works receiving up to six citations — her body of work reflects a consistent focus on making autonomous robots smarter, safer, and more responsive to human environments, contributing steadily to an increasingly vital field.
Research Focus
Key Achievements
Top Papers
- 1Local Path Planning Based on an Improved Dynamic Window Approach in ROS6 citations · 2020
- 2
- 3
- 4Leader Recognition and Tracking for Quadruped Robots2 citations · 2018