Miaoxin Ji

Henan University of Technology

Papers

1

Total Citations

8

H-Index

1

About

Miaoxin Ji is a robotics researcher whose work focuses on intelligent path planning and autonomous navigation, particularly for mobile robots operating in complex, dynamic environments. Their most notable contribution is the development of an improved ant colony algorithm that integrates repulsive field rules, a method that significantly enhances safety and efficiency in real-time path optimization. This approach, detailed in their 2025 paper, has already garnered 8 citations, reflecting its immediate relevance and potential for practical applications in logistics, manufacturing, and service robotics. By combining bio-inspired swarm intelligence with artificial potential fields, Ji addresses a critical challenge in robotics: balancing shortest-path efficiency with collision avoidance in cluttered settings. Their work stands out for its hybrid methodology, which reduces computational overhead while improving trajectory smoothness and obstacle responsiveness. Ji’s research is particularly valuable for students and engineers seeking robust, scalable solutions for autonomous systems, and their early citation impact signals a promising trajectory in the field of mobile robot navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
High-safety path optimization for mobile robots using an improved ant colony algorithm with integrated repulsive field rules
8 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Henan University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago