Jiahao Geng
Papers
1
Total Citations
6
H-Index
1
About
Dr. Jiahao Geng is a researcher specializing in distributed control systems, multi-agent coordination, and nonlinear robotics. Their work addresses fundamental challenges in autonomous formation control, particularly for nonholonomic wheeled mobile robots operating under real-world constraints. In their most-cited paper, "Distributed Iterative Learning Formation control for Nonholonomic Multiple Wheeled Mobile Robots with Channel Noise" (2021, 6 citations), Dr. Geng introduced a novel distributed iterative learning formation control (DILFC) scheme that robustly handles channel noise and switching communication topologies—critical issues for reliable multi-robot operations. This contribution advances the practical deployment of robot swarms in noisy, dynamic environments. With a focus on bridging theoretical control methods and practical robotic applications, Dr. Geng’s work has laid groundwork for resilient, scalable coordination strategies. Their research continues to influence the development of intelligent autonomous systems, offering valuable insights for students and engineers working on distributed robotics, iterative learning, and networked control systems.
Research Focus
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Top Papers
- 1