Papers
33
Total Citations
733
H-Index
17
About
Ata Jahangir Moshayedi is a prolific researcher whose work sits at the dynamic intersection of robotics, artificial intelligence, and autonomous systems. With expertise spanning deep learning, object detection, automated guided vehicles (AGVs), and agricultural robotics, Moshayedi has established himself as a versatile and impactful contributor to modern engineering science. His highly cited 2022 review on deep learning applications (83 citations) offers a comprehensive analysis of the technology's strengths and limitations across domains, while his work on object detection in robotics (66 citations) has become a valuable reference for researchers navigating computer vision challenges. Moshayedi's contributions to AGV design and control are particularly noteworthy — from foundational mission reviews (32 citations) to optimized PID controllers using PSO and BAS algorithms (53 citations) and virtual reality-integrated navigation via ROS (31 citations). His development of the FOODIEBOT service robot (41 citations) and pioneering reviews on electronic nose systems (39 citations) demonstrate a remarkable breadth of innovation. Further extending his reach into sustainable food systems, his work on agricultural robotics (36 citations) underscores a commitment to real-world impact, making his research portfolio both scientifically rigorous and socially relevant.
Research Focus
Key Achievements
Top Papers
- 1Deep Learning Application Pros And Cons Over Algorithm83 citations · 2022
- 2The Object Detection, Perspective and Obstacles In Robotic: A Review66 citations · 2022
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- 4Design and Development of FOODIEBOT Robot: From Simulation to Design41 citations · 2024
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- 6Robots in Agriculture: Revolutionizing Farming Practices36 citations · 2024
- 7
- 8Review On: The Service Robot Mathematical Model32 citations · 2022
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