Amit Dhiman
Papers
2
Total Citations
44
H-Index
2
About
Amit Dhiman is a researcher at the forefront of integrating artificial intelligence with robotics for real-world safety applications. His primary focus lies in developing intelligent autonomous systems, with a particular emphasis on firefighting robotics enhanced by deep learning and machine vision. Dhiman’s most impactful work, "Firefighting robot with deep learning and machine vision" (2021), has garnered 37 citations, showcasing its significance in advancing robotic emergency response. This research demonstrates how convolutional neural networks and visual perception can enable robots to autonomously detect and navigate toward fire sources, reducing human risk in hazardous environments. A related earlier study from 2020 further solidified his contributions to this niche. By combining computer vision with robotic control, Dhiman’s work bridges the gap between theoretical AI models and practical, life-saving technology. His achievements highlight a commitment to engineering solutions that directly address critical societal needs, making him a notable figure in the intersection of robotics, deep learning, and disaster management.
Research Focus
Key Achievements
Top Papers
- 1Firefighting robot with deep learning and machine vision37 citations · 2021
- 2Fire Fighter Robot with Deep Learning and Machine Vision7 citations · 2020