Papers

1

Total Citations

33

H-Index

1

About

D. DePauw is a leading researcher in swarm robotics, with a primary focus on decentralized multi-robotic task allocation (MRTA) for critical applications like disaster response. Their most cited work, "Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response" (2019, 33 citations), addresses a key challenge: enabling multiple robots to autonomously coordinate tasks in dynamic, unpredictable environments. DePauw’s major contribution lies in developing methods that simultaneously balance efficiency, scalability, and robustness—overcoming limitations of existing MRTA approaches that often falter in real-world scenarios. By prioritizing decentralized control, their research empowers robotic swarms to adapt in real-time, a breakthrough for search-and-rescue missions where centralized communication is impractical. With 33 citations on this foundational paper alone, DePauw’s work has influenced subsequent studies in swarm intelligence and autonomous systems. Their achievements include advancing the theoretical framework for dynamic task allocation and demonstrating its practical viability, marking them as a pivotal figure in the push toward deployable, resilient robotic teams for humanitarian and emergency applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
33
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response: Extended Abstract
33 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University at Buffalo, State University of New York

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago