Papers
1
Total Citations
8
H-Index
1
About
Anwesha Dutta is a researcher whose work bridges computer vision, image processing, and robotics, with a focus on real-time object tracking and embedded systems. Her most-cited paper, "Controlling an embedded robot through image processing based object tracking using MATLAB" (2016, 8 citations), demonstrates a practical integration of object detection algorithms with robotic control, showcasing how semantic object recognition—such as identifying humans, buildings, or cars—can enable responsive automation. This contribution highlights her ability to translate theoretical computer vision techniques into tangible applications, particularly in smart environments like smart homes. By leveraging MATLAB for image processing and embedded control, Dutta’s work addresses key challenges in autonomous systems, offering scalable solutions for real-world deployment. Her research underscores the growing importance of efficient, low-cost object tracking in robotics, with implications for assistive technologies and intelligent infrastructure. While her citation count reflects early-career impact, the foundational nature of her work positions her as a promising contributor to the fields of CV and robotics, where her methods could inspire further advances in human-robot interaction and embedded vision systems.
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Top Papers
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