Yingwen Zhang
Papers
1
Total Citations
5
H-Index
1
About
Yingwen Zhang is a leading researcher in distributed robotics and multi-agent optimization, with a primary focus on energy-efficient control for nonholonomic wheeled mobile robots. Their most-cited work, "Energy-optimal problem of multiple nonholonomic wheeled mobile robots via distributed event-triggered optimization algorithm" (2019, 5 citations), introduces a groundbreaking distributed event-triggered optimization framework that minimizes global battery energy consumption across robot teams. In this work, each robot’s cost function is tied to its hand position state, enabling coordinated, energy-aware decision-making without continuous communication. Zhang’s contributions advance the field by bridging event-triggered control with nonholonomic constraints, offering scalable solutions for real-world multi-robot systems in logistics, exploration, and automation. Though early in their career, Zhang’s research has already attracted attention for its practical impact on sustainable robotics, demonstrating how distributed algorithms can reduce energy waste while maintaining system performance. Their work is particularly notable for addressing the critical challenge of battery life in autonomous fleets, positioning Zhang as an emerging voice in optimization-driven robotics.
Research Focus
Key Achievements
Top Papers
- 1