Lei Bu
Papers
1
Total Citations
3
H-Index
1
About
Lei Bu is a researcher whose work lies at the intersection of control theory and robotics, with a particular focus on model predictive control (MPC) for autonomous navigation. In their most-cited paper, "Navigating Discrete Difference Equation Governed WMR by Virtual Linear Leader Guided HMPC" (2020), Bu makes a significant theoretical contribution by identifying a critical limitation in state-of-the-art hierarchical MPC (HMPC) for wheeled mobile robots (WMRs). Specifically, Bu proves that the reachable set-based HMPC approach cannot effectively handle WMR navigation due to the non-existence of non-trivial linear systems in this domain—a finding that challenges existing assumptions in the field. To address this, Bu introduces a novel virtual linear leader-guided HMPC framework, offering a theoretically sound alternative. While the paper has accumulated 3 citations, its impact is notable for its rigorous theoretical analysis and practical implications for autonomous systems. Bu’s work is essential reading for students and researchers interested in the mathematical foundations of MPC, nonlinear control, and the ongoing evolution of robotic navigation strategies.
Research Focus
Key Achievements
Top Papers
- 1