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

2
H-Index
3
Papers
43
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Effective shepherding behaviours using multi-agent systems
21 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Fukuoka International University, Fukuoka Women's University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago