Yunxia Wei
Papers
1
Total Citations
34
H-Index
1
About
Yunxia Wei is a researcher specializing in multi-robot systems, formation control, and obstacle avoidance. Her work focuses on developing intelligent trajectory generation algorithms that enable groups of robots to navigate complex environments while maintaining coordinated formations. Her most-cited paper, "Null-space-based modulated reference trajectory generator for multi-robots formation in obstacle environment" (2021), has garnered 34 citations, reflecting its significance in the field. This contribution introduces a novel approach that leverages null-space principles to modulate reference trajectories, allowing robots to dynamically adjust their paths in response to obstacles without compromising formation integrity. Wei’s research addresses critical challenges in autonomous robotics, including collision avoidance and real-time adaptability, with potential applications in search-and-rescue, exploration, and industrial automation. Her work is recognized for bridging theoretical control methods with practical implementation, offering scalable solutions for multi-agent systems. As a rising voice in robotics, Wei continues to advance the capabilities of autonomous formations, making her a notable figure for students and researchers interested in cooperative robotics and motion planning.
Research Focus
Key Achievements
Top Papers
- 1