Ans Hussain Qureshi

Papers

1

Total Citations

2

H-Index

1

About

Dr. Ans Hussain Qureshi is a robotics researcher whose work centers on multi-agent systems, visual SLAM (Simultaneous Localization and Mapping), and the deployment of miniature unmanned ground vehicles (UGVs). His most notable contribution, detailed in his 2022 paper "A Multi-agent Approach to Improve Visual SLAM Performance using Miniature Robots," addresses a critical challenge in autonomous navigation: robustness. By proposing a collaborative formation of low-cost, miniature robots, Dr. Qureshi demonstrates how multi-agent redundancy can overcome failures from track loss or mechanical faults in single-robot SLAM systems. This work, which has garnered early citations, highlights his focus on scalable, fault-tolerant solutions for real-world robotics. His research is particularly impactful for applications in exploration, search-and-rescue, and environmental monitoring, where reliability is paramount. Through his innovative integration of multi-agent coordination with visual SLAM, Dr. Qureshi is advancing the practical deployment of autonomous systems, offering a path toward more resilient and cost-effective robotic teams.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Multi-agent Approach to Improve Visual SLAM Performance using Miniature Robots
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago