Amir Sohail Khan
Papers
7
Total Citations
253
H-Index
7
About
Amir Sohail Khan is a pioneering roboticist whose work spans object detection, agricultural robotics, and healthcare automation. His highly cited review on object detection in robotics (66 citations) established foundational insights into hardware and software limitations, while his development of FOODIEBOT (41 citations) demonstrates a complete pipeline from simulation to a functional service robot integrating image processing with mobile and web interfaces. Khan’s expertise extends to electronic nose technology (39 citations), where he has advanced biomimetic olfactory systems for robotic applications, and to agricultural robotics (36 citations), where his work is revolutionizing farming practices through autonomous systems. He has also made significant contributions to virtual reality integration with Robot Operating Systems for AGV navigation (31 citations) and to micro-robotics for targeted drug delivery in healthcare (21 citations). His comparative study of UAV object detection algorithms across three processors (19 citations) showcases his practical engineering approach. With over 250 total citations across his most influential works, Khan is recognized for bridging theoretical robotics with real-world deployment, making him a leading voice in service robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1The Object Detection, Perspective and Obstacles In Robotic: A Review66 citations · 2022
- 2Design and Development of FOODIEBOT Robot: From Simulation to Design41 citations · 2024
- 3
- 4Robots in Agriculture: Revolutionizing Farming Practices36 citations · 2024
- 5
- 6
- 7