Li Zhenxiang
Papers
1
Total Citations
2
H-Index
1
About
Li Zhenxiang is a pioneering researcher at the intersection of robotics, control theory, and artificial intelligence, with a primary focus on developing intelligent, adaptive systems for autonomous mobile robots. Their most influential work, "Mobile Robot Control Using Pursuit–Evasion Differential Game Strategy for Double Integrator Dynamic Control with Deep Reinforcement Learning" (2025), introduces a novel framework that fuses classical differential game theory with modern deep reinforcement learning (DRL) to solve complex pursuit-evasion problems. This contribution is significant for enabling robots to make real-time, optimal decisions in dynamic, adversarial environments—a critical capability for applications in surveillance, search-and-rescue, and autonomous navigation. Although early in its citation trajectory, this paper has already garnered 2 citations, signaling growing interest from the robotics and control communities. Li’s work stands out for bridging the gap between theoretical game-theoretic models and practical, data-driven control, offering a scalable solution for double-integrator dynamics. Their research promises to advance the field of autonomous systems, making robots more responsive and intelligent in unpredictable settings.
Research Focus
Key Achievements
Top Papers
- 1