Papers
1
Total Citations
2
H-Index
1
About
Dr. Lunjiong Li is a researcher specializing in mobile robotics and intelligent path planning, with a particular focus on optimizing navigation algorithms for autonomous systems. Their most notable contribution is the development of an innovative path planning method that integrates multi-layer Extreme Learning Machines (ELM) with the classic A* algorithm, known as ELM-A*. This work addresses the fundamental challenge of global path planning for mobile robots by leveraging machine learning to enhance the efficiency and adaptability of traditional search-based approaches. By using environmental and path point information as inputs, Dr. Li’s method demonstrates how neural network optimization can improve real-time decision-making in robotic navigation. Although early in their career, with their key paper from 2021 accumulating 2 citations, this work represents a meaningful step toward bridging the gap between classical algorithms and modern AI techniques. Dr. Li’s research holds promise for advancing autonomous systems in complex, dynamic environments, making it a valuable reference for students and researchers exploring intelligent robotics and optimization-driven path planning.
Research Focus
Key Achievements
Top Papers
- 1Path Planning Method Based on Multi-Layer ELM Optimized A*2 citations · 2021