Papers

2

Total Citations

12

H-Index

2

About

Ding Ji is a robotics researcher whose work focuses on intelligent navigation and obstacle avoidance for mobile robots, particularly through sensor fusion and fuzzy logic control. His most cited paper, "Research on obstacle avoidance for mobile robot based on binocular stereo vision and infrared ranging" (2011, 9 citations), introduces a novel system that integrates infrared sensors with binocular stereo vision to provide complete distance information between a robot and obstacles, enabling real-time, reliable avoidance in complex environments. This work demonstrates his key contribution: combining complementary sensing modalities to overcome the limitations of individual sensors. In a related study, "Study of obstacle avoidance based on fuzzy planner for wheeled mobile robot" (2011, 3 citations), Ji developed a fuzzy planner that processes infrared data to determine optimal navigation angles, paired with motion controllers for smooth, adaptive movement in unknown settings. Together, these papers establish Ji as a contributor to practical, sensor-driven robotics, with his fusion approach offering a foundation for safer, more autonomous mobile systems. His research remains relevant for students and engineers exploring low-cost, effective solutions in robotic perception and control.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Research on obstacle avoidance for mobile robot based on binocular stereo vision and infrared ranging
9 citations · 2011
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Changzhou University, Carnegie Mellon University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago