Papers
26
Total Citations
421
H-Index
11
About
Jiahu Qin is a leading researcher in multi-robot systems, resilient control, and autonomous navigation. His work addresses critical challenges in robotics, including security against cyber-attacks, safe learning-based navigation, and formation control. Notably, his 2020 paper on "Resilient Cooperative Source Seeking of Double-Integrator Multi-Robot Systems Under Deception Attacks" (78 citations) provides a foundational condition for maintaining multi-robot coordination under adversarial conditions. Qin has also made significant contributions to indoor localization for skid-steering robots (56 citations) and circular formation control for nonholonomic robots (46 citations). His recent innovations include safety-enhanced imitation learning for mapless navigation (32 citations) and socially aware multi-agent navigation algorithms (21 citations). Qin's work on game-based optimal motion planning for human-swarm interaction (2024) and robust safe learning using control barrier functions (2023) demonstrates his ongoing commitment to safe, real-world robot deployment. With over 300 total citations across his top papers, Qin's research bridges theoretical control theory with practical robotics, offering essential tools for resilient, autonomous systems operating in complex, uncertain environments.
Research Focus
Key Achievements
Top Papers
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- 4Mapless Navigation With Safety-Enhanced Imitation Learning32 citations · 2022
- 5Boundary Gap Based Reactive Navigation in Unknown Environments21 citations · 2021
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