Shuanglu Dai
Papers
2
Total Citations
19
H-Index
2
About
Shuanglu Dai’s research lies at the intersection of multirobot systems and intelligent perception, with a focus on task allocation and human detection. In their most cited work, “Research on Multirobot Pursuit Task Allocation Algorithm Based on Emotional Cooperation Factor” (2014, 16 citations), Dai introduced a novel emotional model to quantify the cooperative willingness of self-interested robots, offering a fresh perspective on multirobot task allocation—a core challenge in robotics. This work provides a measurable framework for improving collaboration in autonomous systems. Additionally, Dai’s “Human Detection Algorithm Based on Edge Symmetry” (2015, 3 citations) explores visual perception techniques, contributing to the broader field of computer vision. While citation counts are modest, the emotional cooperation factor approach stands out for its creativity in addressing robot coordination, bridging psychology and engineering. Dai’s work is particularly valuable for researchers studying swarm robotics or human-robot interaction, offering a unique lens on how emotional cues can enhance collective behavior in autonomous agents.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human Detection Algorithm Based on Edge Symmetry3 citations · 2015