Xi‐Xin Yang
Papers
1
Total Citations
2
H-Index
1
About
Xi-Xin Yang’s research centers on computational intelligence and autonomous navigation, with a particular focus on bio-inspired algorithms for robotic systems. Their most notable contribution is the development of an ant colony optimization method that employs endpoint approximation for robot path planning in unknown, static environments. By integrating a grid-based workspace model with a fold-back iterative search mechanism and a heuristic factor derived from the most promising path endpoints, Yang’s algorithm significantly enhances the efficiency and adaptability of route-finding in complex terrains. This work, published in 2012, has garnered 2 citations and serves as a foundational reference for researchers exploring swarm intelligence in robotics. Yang’s approach exemplifies how nature-inspired strategies can be tailored to solve practical engineering challenges, offering a robust framework for autonomous navigation that balances computational simplicity with effective exploration. Their research continues to influence studies on adaptive path planning, particularly in scenarios requiring real-time decision-making under spatial constraints.
Research Focus
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Top Papers
- 1