Ahmad Asghar

Papers

1

Total Citations

4

H-Index

1

About

Ahmad Asghar is a researcher specializing in multi-agent robotic systems, with a particular focus on the coordination of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs). His work addresses critical challenges in autonomous systems, including resource allocation, path planning, and risk-aware decision-making for cooperative missions. In his highly cited 2022 paper, "Risk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous," Asghar tackles the complex problem of enabling UAVs with limited battery capacity to rendezvous with mobile UGV recharging stations. This work, which has garnered 4 citations, proposes novel algorithms that balance operational efficiency with risk mitigation, ensuring mission success in dynamic environments. Asghar’s contributions are particularly impactful for applications in search-and-rescue, environmental monitoring, and logistics, where persistent aerial surveillance is critical. His research bridges the gap between theoretical optimization and practical deployment, offering scalable solutions for heterogeneous robot teams. By addressing the fundamental constraint of energy management in multi-robot systems, Asghar is advancing the frontier of autonomous cooperation, making his work essential reading for students and researchers in robotics, control systems, and operations research.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Risk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago