Yuedong Ma
Papers
1
Total Citations
11
H-Index
1
About
Yuedong Ma is a leading researcher in autonomous systems and multi-agent decision-making, with a focus on unmanned combat vehicle coordination. Their most-cited work, "A Collaborative Decision Making Approach for Multi-Unmanned Combat Vehicles based on the Behaviour Tree" (2020, 11 citations), tackles the critical challenge of enabling effective behavior decisions for multiple unmanned vehicles operating in complex, multi-task environments. By analyzing existing decision systems, Ma proposed an innovative framework that leverages behavior trees to enhance cooperative tactics and real-time adaptability. This contribution is pivotal for advancing military and civilian autonomous swarm operations, where robust, scalable coordination is essential. Ma’s research bridges artificial intelligence, robotics, and control theory, offering practical solutions for dynamic mission planning. With growing impact in the field, their work continues to influence the development of intelligent, collaborative unmanned systems.
Research Focus
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Top Papers
- 1