Changxing Chen
Papers
1
Total Citations
26
H-Index
1
About
Changxing Chen is a leading researcher in multi-robot systems, with a core focus on task allocation, multi-objective optimization, and energy-efficient coordination. His most-cited work, "A Multi-Robot Task Allocation Method Based on Multi-Objective Optimization" (2018, 26 citations), introduces a pioneering framework that simultaneously optimizes time consumption and energy consumption—two critical yet often conflicting indicators in robotic swarms. By modeling task allocation as a multi-objective problem with time and energy utilities, Chen’s method enables robots to balance speed and resource efficiency, directly addressing real-world constraints in search-and-rescue, warehouse logistics, and environmental monitoring. This contribution has influenced subsequent research on decentralized coordination and sustainable robotics. Chen’s work is notable for its practical emphasis on minimizing operational costs while maximizing mission throughput, offering a scalable solution for heterogeneous robot teams. His research continues to shape the design of intelligent, energy-aware autonomous systems, making him a key figure in advancing multi-robot collaboration for complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1A Multi-Robot Task Allocation Method Based on Multi-Objective Optimization26 citations · 2018