Lu Tie

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Lu Tie is a leading researcher in intelligent robotics and autonomous navigation, with a particular focus on extreme environment operations. Her most cited work, "Localization of coal mine rescue robots based on multi-sensor fusion" (2021), addresses the critical challenge of reliable robot positioning in catastrophic underground conditions. By designing a multi-sensor fusion system that integrates lidar, IMU, and wheel encoder data, Tie has developed robust localization solutions for environments plagued by poor illumination and slippery terrain. This foundational contribution has garnered 4 citations and represents a significant advance in rescue robotics, where sensor degradation during disasters often compromises mission success. Tie's research bridges the gap between theoretical sensor fusion algorithms and practical deployment in hazardous settings, directly impacting the safety and effectiveness of autonomous rescue operations. Her work continues to influence the development of resilient navigation systems for subterranean and disaster-response robotics, positioning her as an important voice in the field of field robotics and multi-modal perception.