Wentao Ning
Papers
1
Total Citations
6
H-Index
1
About
Wentao Ning is a researcher advancing the frontier of safety-critical motion planning and control in autonomous systems. His primary research areas include nonlinear control theory, optimization-based planning, and real-time safety assurance for robotic and vehicular systems. Ning’s most notable contribution is the development of the Adaptive High-Order Control Barrier Function-Based Iterative Linear Quadratic Regulator (AHOCBF-ILQR), a novel algorithm that integrates high-order control barrier functions with iterative LQR to ensure real-time safety in dynamic environments. This work, published in 2024 and already garnering 6 citations, addresses a critical challenge: balancing optimal performance with strict safety constraints under computational limits. By proposing a HOCBF-based safety filter for ILQR, Ning provides a practical framework for autonomous vehicles and robots to navigate complex scenarios without compromising safety. His research bridges theoretical rigor and real-world applicability, making him a rising voice in the control systems community. For students and researchers, Ning’s work exemplifies how adaptive, barrier-function-based methods can unlock safer, more efficient autonomy.
Research Focus
Key Achievements
Top Papers
- 1