Jindi Tang
Papers
1
Total Citations
10
H-Index
1
About
Dr. Jindi Tang is a robotics researcher whose work focuses on autonomous navigation and sensor-based perception for mobile systems. Their most impactful contribution centers on obstacle detection and avoidance, as demonstrated in their highly cited 2019 paper, "An Obstacle Detection and Avoidance System for Mobile Robot with a Laser Radar." In this work, Dr. Tang established a complete system integrating an industrial computer, laser radar, and mobile robot, and proposed a novel integrated improved algorithm that enhances real-time environmental sensing and safe path planning. This research has garnered 10 citations, reflecting its practical relevance in the field of mobile robotics. By addressing the critical challenge of reliable obstacle avoidance using laser radar, Dr. Tang’s work supports the development of more autonomous and intelligent robots capable of navigating complex, dynamic environments. Their contributions are particularly valuable for applications in industrial automation, service robotics, and autonomous vehicles, where robust perception and decision-making are essential. Dr. Tang’s research continues to influence the design of efficient, sensor-driven navigation systems.
Research Focus
Key Achievements
Top Papers
- 1