Shafiq Abedin
Papers
1
Total Citations
26
H-Index
1
About
Dr. Shafiq Abedin is a leading researcher in multi-robot systems and human-robot interaction, with a focus on scalable coordination and perception for autonomous teams. His most-cited work, "Scalable Target Detection for Large Robot Teams" (2011, 26 citations), introduces the innovative "image queue" method—an asynchronous display technique that enables human operators to efficiently sift through vast data streams from robot swarms during foraging tasks. This contribution directly addresses a critical bottleneck in urban search and rescue: managing information overload while maintaining detection accuracy. By decoupling operator attention from real-time robot actions, Abedin’s approach enhances both scalability and reliability in time-sensitive missions. His research bridges theoretical algorithms and practical deployment, demonstrating how asynchronous interfaces can amplify human oversight in complex, multi-agent environments. With a career dedicated to improving robot team autonomy and operator effectiveness, Abedin’s work continues to influence the design of human-swarm systems, offering foundational insights for students and engineers tackling large-scale robotic coordination.
Research Focus
Key Achievements
Top Papers
- 1Scalable target detection for large robot teams26 citations · 2011