Yuxi Sun
Papers
3
Total Citations
55
H-Index
3
About
Yuxi Sun is a robotics researcher whose work centers on autonomous navigation, motion planning, and safe trajectory generation for mobile robots operating in cluttered, dynamic environments. Her major contributions lie in developing novel, computationally efficient algorithms that combine sampling-based planners like Rapidly Exploring Random Trees (RRT) with smooth curve interpolation techniques. She introduced the DB-RRT and FMDB-RRT algorithms, which generate collision-free, dynamically feasible trajectories with improved clearance, addressing a critical challenge in omnidirectional robot motion. Her work on "Safe and Smooth Motion Planning for Mecanum-Wheeled Robot Using Improved RRT and Cubic Spline" (28 citations) and her B-spline based RRT approaches (17 citations) are foundational to this area. Sun has also advanced autonomous exploration by integrating frontier detection with multi-path evaluation, enabling robots to efficiently map unknown environments without human intervention (10 citations). Her research is highly practical, directly impacting the development of safer, more reliable robotic systems for applications in remote sensing, industrial automation, and service robotics.
Research Focus
Key Achievements
Top Papers
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