Anna Fujioka
Papers
1
Total Citations
9
H-Index
1
About
Anna Fujioka is a leading researcher in multi-agent systems and bio-inspired robotics, with a particular focus on the shepherding problem—the challenge of guiding a collective of autonomous agents using a smaller number of external controllers. Her most-cited work, "Shepherding algorithm for heterogeneous flock with model-based discrimination" (2022, 9 citations), introduces a novel algorithm that enables a shepherd to manage a diverse flock by dynamically distinguishing between agent types and adjusting repulsion forces accordingly. This contribution is pivotal for real-world applications such as diverting bird flocks away from airspace to prevent airplane accidents, as well as for robotic swarm guidance and wildlife management. Fujioka’s research bridges theoretical control and practical deployment, offering scalable solutions for heterogeneous groups. Her work has been recognized for its potential to enhance safety in aviation and ecological conservation, and she continues to advance the field through rigorous modeling and simulation. With a growing citation footprint, Fujioka is establishing herself as a key voice in distributed robotics and collective behavior.
Research Focus
Key Achievements
Top Papers
- 1