Guangying Jiang

Purdue University West Lafayette, University of Denver

Papers

5

Total Citations

73

H-Index

3

About

Guangying Jiang is a robotics researcher whose work centers on novel aerial platforms and autonomous systems for challenging real-world environments. His most significant contribution is the development of a fully actuated, nonparallel hexrotor UAV, detailed in his highly cited 2014 paper (54 citations). Unlike standard multirotors that must tilt their entire body to counteract wind, Jiang’s design enables faster, more precise disturbance rejection and precision position keeping—a critical capability for stable aerial manipulation and inspection tasks. This work directly supports his broader interest in dexterous hexrotor platforms for mobile manipulation, where a UAV must both locomote and interact physically with its surroundings. Jiang’s research also addresses the practical constraints of field robotics. He proposed a self-adaptation framework for miniature search and rescue robots, allowing them to autonomously manage limited power and computational resources in disaster zones. Additionally, he contributed to a landmark field trial at the DOE Waste Isolation Pilot Plant (WIPP), where his team used a dexterous hexrotor to inspect and clean up a nuclear waste storage facility after an incident—demonstrating the real-world impact of his designs. With a portfolio spanning UAV control, resource-constrained autonomy, and peripheral interconnect innovation, Jiang’s work bridges the gap between theoretical platform design and deployment in hazardous, resource-limited environments.

Research Focus

Key Achievements

3
H-Index
5
Papers
73
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A nonparallel hexrotor UAV with faster response to disturbances for precision position keeping
54 citations · 2014
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Purdue University West Lafayette, University of Denver

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago