Jiangyang Huang

University of Nebraska–Lincoln, Itron (United States)

Papers

5

Total Citations

142

H-Index

3

About

Jiangyang Huang is a robotics researcher whose work centers on mobile robot systems, multi-robot coordination, and real-time computational control. His most significant contribution lies in the domain of heterogeneous mobile robot groups, particularly the development of localization and follow-the-leader control strategies for teams of robots with varying sensing, mechanical, and computational capabilities. His 2006 paper on this topic has garnered 119 citations, establishing it as a foundational reference in cooperative robotics and demonstrating the viability of cost-effective, sensor-limited robots operating under intelligent leader-guided formations. Beyond multi-robot coordination, Huang has made meaningful contributions to the challenge of adaptive real-time performance in autonomous systems. His work on the Robotic Safety Marker system showcases practical applications of dynamic task scheduling, while later research into dynamic speed and sensor rate adjustment addresses the complex interplay between a robot's computational platform and its unpredictable operating environment. His 2009 work on zone-based computational modeling further reflects his sustained interest in making mobile robotic systems more predictable and efficient. Across his publications, Huang demonstrates a consistent focus on bridging theoretical control frameworks with practical engineering constraints, offering researchers valuable insights into building robust, scalable autonomous robot teams.

Research Focus

Key Achievements

3
H-Index
5
Papers
142
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Localization and follow-the-leader control of a heterogeneous group of mobile robots
119 citations · 2006
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Nebraska–Lincoln, Itron (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago