Jinyu Li

China University of Mining and Technology

Papers

2

Total Citations

89

H-Index

2

About

Jinyu Li is a robotics researcher specializing in autonomous navigation, simultaneous localization and mapping (SLAM), and mobile robot design for complex environments. Their work focuses on improving the accuracy and efficiency of robot perception and path planning, particularly in indoor and confined industrial settings. Li's most cited paper, "Research and Implementation of Autonomous Navigation for Mobile Robots Based on SLAM Algorithm under ROS" (2022, 73 citations), addresses critical challenges in mapping accuracy and path planning efficiency by proposing a four-wheel drive adaptive robot positioning and navigation system built on the Robot Operating System (ROS). This contribution has been widely recognized for advancing practical SLAM implementations. In related work, Li developed a two-wheel self-balancing inspection robot using the Gmapping algorithm (2023, 16 citations), specifically designed for narrow, complex environments like coal mine pump rooms. This achievement demonstrates Li's ability to translate theoretical SLAM research into functional robotic systems for real-world monitoring tasks. By integrating mechanical design with algorithmic innovation, Jinyu Li has made notable contributions to making autonomous navigation more reliable and accessible for challenging operational spaces.

Research Focus

Key Achievements

2
H-Index
2
Papers
89
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Research and Implementation of Autonomous Navigation for Mobile Robots Based on SLAM Algorithm under ROS
73 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: China University of Mining and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago