Papers

2

Total Citations

18

H-Index

2

About

Likun Li is a researcher at the forefront of intelligent robotics and sustainable automation, whose work bridges the gap between algorithmic efficiency and real-world environmental impact. Li’s primary contributions lie in two intersecting domains: advanced path planning for mobile robots and the integration of artificial intelligence into industrial systems for ecological sustainability. In a landmark 2024 study, Li introduced an improved ant colony optimization algorithm specifically designed for car-like mobile robots operating in narrow, large-scale environments. This work, which has already garnered 12 citations, directly addresses the critical challenge of balancing smoothness and computational efficiency in complex navigation scenarios—a foundational need for autonomous systems in logistics, manufacturing, and exploration. Simultaneously, Li’s research on AI-driven industrial robotics, cited 6 times, offers a timely analysis of how leading green economies can leverage automation to combat climate change. By quantifying the potential of intelligent robotics to reduce carbon footprints, this work provides a strategic roadmap for aligning technological advancement with global sustainability goals. Li’s dual focus on algorithmic innovation and applied environmental science marks them as a vital voice in shaping both the efficiency and the ecological responsibility of next-generation autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Smooth and Efficient Path Planning for Car-like Mobile Robot Using Improved Ant Colony Optimization in Narrow and Large-Size Scenes
12 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Huazhong University of Science and Technology, Puyang Vocational and Technical College

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago