N Choudhury

University of Alabama

Papers

2

Total Citations

7

H-Index

2

About

Dr. N Choudhury is a pioneering researcher at the intersection of robotics, artificial intelligence, and autonomous systems, with a primary focus on intelligent sensing and natural language-driven robotic control. Their most impactful work centers on revolutionizing indoor building inspections through the integration of large language models and computer vision. In their highly cited 2024 paper, Choudhury introduced a novel framework that combines GPT with dense captioning models and object detection, enabling autonomous UAVs to navigate complex indoor environments using natural language commands—a breakthrough that significantly reduces the need for intricate manual programming. This work has already garnered 5 citations, signaling its rapid influence in the field. Complementing this, their research on an intelligent robotic sensing system for indoor building inspection addresses the critical challenge of replacing labor-intensive, error-prone manual inspections with autonomous, data-driven solutions. By fusing AI with robotics, Choudhury’s contributions promise to enhance safety, efficiency, and adaptability in infrastructure maintenance, positioning them as a rising leader in intelligent autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Natural Language Navigation for Robotic Systems: Integrating GPT and Dense Captioning Models with Object Detection in Autonomous Inspections
5 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Alabama

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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