Kaoru Fujioka
Fukuoka International University, Fukuoka Women's University
Papers
3
Total Citations
43
H-Index
2
About
Kaoru Fujioka is a leading researcher in the field of multi-agent systems and bio-inspired swarm robotics, with a particular focus on the classic shepherding problem. Her work investigates how a small number of "shepherds" can effectively guide and control a larger group of "sheep" toward a target, a challenge with direct applications in robotic herding, crowd management, and autonomous navigation. Fujioka’s most influential contribution is the development of effective shepherding behaviors using multi-agent systems, where she demonstrated how coordination among agents can achieve efficient group control. Her 2016 paper on this topic, with 21 citations, remains a foundational reference in the field. She further advanced the domain by exploring V-formation control in herding, showing how structured group dynamics improve guidance efficiency—a 2018 work that has garnered 20 citations. Additionally, her study on flock control using two sheepdogs (2016) provides key insights into multi-shepherd strategies, though with lower citation impact. Fujioka’s research bridges theoretical modeling and practical robotics, offering scalable solutions for real-world crowd and swarm control.
Research Focus
Key Achievements
Top Papers
- 1Effective shepherding behaviours using multi-agent systems21 citations · 2016
- 2Effective Herding in Shepherding Problem in V-formation Control20 citations · 2018
- 3The effective flock control by two sheepdogs2 citations · 2016