Hongru Tang
Papers
13
Total Citations
86
H-Index
5
About
Hongru Tang is a leading researcher in robotics, with a primary focus on human-robot collaboration, autonomous navigation, and multi-agent systems for hazardous environments. Their seminal work on the Semi-Autonomous Mobile Robot Architecture (SAMRA) established a foundational framework for combining robot autonomy with human intelligence, enabling semi-autonomous reconnaissance robots to operate effectively in dangerous settings. Tang has made significant contributions to outdoor navigation by integrating GPS waypoints with pedestrian lane following, and to stair-climbing stability analysis for search-and-rescue robots—each of these key papers has garnered 14 citations. Their research also extends to hybrid behavior coordination mechanisms for reconnaissance robots, vision-based path planning using online boosting learning, and haptic texture recognition via sparse representation. Tang’s work on multi-agent telesupervision architectures for hazardous materials detection demonstrates a commitment to maximizing safety and efficiency in critical operations. With a career spanning from 2006 to the present, Tang’s publications consistently address real-world challenges in mobile robotics, making their research highly relevant for students and engineers working on autonomous systems, human-robot interaction, and field robotics.
Research Focus
Key Achievements
Top Papers
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- 5Combining Vision Learning and Interaction for Mobile Robot Path Planning6 citations · 2012
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- 7A survey of reinforcement learning research and its application for multi-robot systems5 citations · 2012
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