Haiying Xia
Papers
1
Total Citations
2
H-Index
1
About
Haiying Xia is a researcher specializing in multi-agent robotics and autonomous motion planning, with a particular focus on car-like robots and formation control. Their most-cited work, "A Multi-agent Autonomous Formation Motion Planning Method for Car-Like Robots Based on the Leader-Follower Model" (2023), introduces a novel approach to coordinating multiple robotic agents in structured formations, addressing key challenges in scalability and real-time decision-making. By leveraging the leader-follower paradigm, Xia’s method enhances the efficiency and safety of autonomous systems in dynamic environments, contributing to advancements in swarm robotics and intelligent transportation. Though early in their citation impact, this work lays a strong foundation for future studies in cooperative robotics. Xia’s research bridges theoretical control algorithms with practical applications, offering valuable insights for students and engineers working on autonomous vehicle fleets, warehouse automation, and search-and-rescue missions. Their contributions highlight the growing importance of decentralized coordination in robotics, positioning them as a promising voice in the field.
Research Focus
Key Achievements
Top Papers
- 1