Xiaoxian Yang
Papers
1
Total Citations
2
H-Index
1
About
Xiaoxian Yang is a researcher whose work sits at the intersection of automatic control, wireless communication, and edge computing, with a particular focus on advancing wireless robot path planning. Their key contribution lies in addressing the computational and navigational challenges faced by autonomous robots operating in dynamic environments. In their highly cited 2019 paper, "Research on wireless robot path planning under edge computing considering multistep searching and inflection points," Yang proposed a novel approach that leverages edge computing to enhance a robot’s location-awareness and positioning capabilities. By integrating multistep searching strategies and accounting for inflection points, their method enables robots to more effectively explore directions and avoid obstacles with reduced computational overhead. This work has garnered 2 citations, reflecting its relevance to researchers in robotics and wireless systems. Yang’s research is particularly notable for demonstrating how edge computing can offload complex path-planning tasks from resource-constrained robots, a critical step toward real-time autonomous navigation. Their contributions offer practical insights for developing smarter, more efficient robotic systems in applications ranging from industrial automation to search-and-rescue missions.
Research Focus
Key Achievements
Top Papers
- 1