Xufei Chen
Papers
2
Total Citations
7
H-Index
2
About
Xufei Chen is a leading researcher in autonomous robot navigation and path planning, whose work bridges the gap between global and local motion control in dynamic environments. Chen’s major contributions include the development of an improved parallel sampling Rapidly-exploring Random Tree (RRT) algorithm combined with an offset guidance Dynamic Window Approach (DWA), which enables robots to efficiently avoid both static and dynamic obstacles—a critical advancement over traditional methods that fail in real-world settings. This framework has already garnered 5 citations since its 2025 publication, reflecting its immediate impact. Additionally, Chen pioneered a bi-directional collaborative ant colony optimization (ACO) algorithm for robot navigation, addressing the long-standing challenge of premature convergence in swarm intelligence. By enhancing ACO’s exploration-exploitation balance, this work offers a robust solution for complex navigation tasks, earning 2 citations in its debut year. Chen’s research is notable for its practical focus on real-time, safe autonomous operation, making significant strides toward fully autonomous systems in manufacturing, logistics, and service robotics. As a rising voice in intelligent robotics, Chen continues to push the boundaries of adaptive, bio-inspired navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2