Kangkang Ma
Papers
2
Total Citations
67
H-Index
2
About
Kangkang Ma is a prominent researcher in the field of mobile robotics, with a primary focus on intelligent path planning and optimization algorithms. His work centers on enhancing the efficiency and practicality of autonomous navigation systems, particularly through the innovative application and fusion of bio-inspired computational methods. Ma’s major contributions include the development of a Terminal Distance Index-Based Multi-Step Ant Colony Optimization (ACO), which significantly improves upon traditional ACO by allowing for variable step sizes and more realistic movement constraints in grid-based simulations. This work, published in 2022, has garnered 57 citations, reflecting its substantial impact on the field. Additionally, Ma has pioneered a fusion algorithm that integrates ant colony optimization with genetic algorithms, effectively addressing common shortcomings such as redundant nodes and slow convergence. This 2023 publication, with 10 citations, demonstrates his ongoing commitment to advancing algorithmic efficiency. Through these contributions, Kangkang Ma has established himself as a key innovator in mobile robot path planning, offering practical solutions that bridge theoretical optimization with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 2