Sun Xiao-yan
Papers
1
Total Citations
10
H-Index
1
About
Dr. Sun Xiao-yan is a leading researcher in robotics and computational intelligence, with a primary focus on multi-objective optimization and path planning in complex environments. Her most cited work, "Solving Robot Path Planning in an Environment with Terrains Based on Interval Multi-Objective PSO" (2016), introduces a novel application of interval-based particle swarm optimization to address the challenges of robot navigation across uneven terrains. This contribution has garnered 10 citations, reflecting its significance in advancing practical solutions for autonomous systems operating in real-world, non-ideal conditions. Dr. Sun’s research bridges the gap between theoretical optimization algorithms and tangible robotic applications, offering robust methods for balancing competing objectives such as path length, safety, and energy efficiency. Her work is particularly notable for integrating interval mathematics to handle uncertainty in terrain data, a key step toward more reliable and adaptive robotics. As a dedicated scholar, Dr. Sun continues to influence the fields of swarm intelligence and autonomous navigation, inspiring further exploration into intelligent systems that can adapt to dynamic and unpredictable environments.
Research Focus
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Top Papers
- 1