Awais Khan

Shenzhen University

Papers

1

Total Citations

10

H-Index

1

About

Awais Khan is a leading researcher in multi-robot systems and autonomous task allocation, with a particular focus on deploying robotic swarms for public health and safety. His most impactful work addresses the urgent need for contactless service during the COVID-19 pandemic. In his highly cited 2023 paper, "Multi-robot task assignment for serving people quarantined in multiple hotels during COVID-19 pandemic" (10 citations), Khan pioneered a novel framework for coordinating teams of robots to perform essential missions—such as disinfection, monitoring, and temperature screening—across multiple quarantine facilities. This work directly reduced human interaction risks for medics and service providers, showcasing a practical, scalable solution to a global crisis. By integrating real-world constraints like dynamic task priorities and robot heterogeneity, Khan’s contributions bridge the gap between theoretical multi-agent systems and life-saving applications. His research not only advances the field of distributed robotics but also demonstrates how intelligent automation can enhance resilience in public health emergencies, earning him recognition as a key innovator in socially impactful robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Multi-robot task assignment for serving people quarantined in multiple hotels during COVID-19 pandemic
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenzhen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago