Haowen Jiang

Papers

Total Citations

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About

Haowen Jiang’s research lies at the intersection of mobile robotics, sensor fusion, and autonomous navigation, with a particular focus on enabling robots to operate safely and accurately in complex, dynamic environments. His most influential work, including two highly cited papers from 2016, addresses fundamental challenges in obstacle avoidance and indoor navigation. In his sensor fusion methodology, Jiang developed an efficient approach that integrates data from multiple sensors to detect the precise size and location of obstacles, allowing mobile robots to navigate dynamic surroundings with high accuracy—a critical capability for real-world deployment. Complementing this, his Kalman filter-based navigation system enhances positioning precision in indoor settings, directly tackling the accuracy issues that plague robot movement. Together, these contributions have garnered over 26 citations, reflecting their practical value to the robotics community. Jiang’s work is particularly notable for its emphasis on real-time performance and reliability, bridging the gap between theoretical control algorithms and robust physical operation. For students and researchers exploring autonomous systems, his methodologies offer foundational insights into how sensor integration and state estimation can be harnessed to create more intelligent, responsive robots.