Papers
8
Total Citations
479
H-Index
6
About
Dr. Zinat Tasneem is a leading researcher at the forefront of robotics and digital twin technology, whose work is shaping the future of intelligent automation. Her primary research areas encompass autonomous mobile robots, digital twin (DT) systems, and the integration of robotics with Industry 4.0 technologies. Dr. Tasneem’s major contributions include pioneering comprehensive reviews on the critical design and control issues of indoor autonomous mobile robots (145 citations) and advancing the concept of next-generation digital twins in robotics (123 citations). Her most impactful work, a 2024 paper on digital twin architecture and implementation, has already garnered 148 citations, underscoring its significance in the field. She has also explored innovative applications, such as the use of digital twins and the Internet of Robotic Things (IoRT) in future surgical sectors (31 citations) and the development of legged robot locomotion control techniques (16 citations). Beyond theoretical contributions, Dr. Tasneem has demonstrated practical engineering prowess by developing a 3DOF color-sorting robotic arm and a robotic arm for identifying tomato leaf diseases using convolutional neural networks. Her recent work on a soft pneumatic manipulator for sweet pepper harvesting highlights her commitment to solving real-world agricultural challenges.
Research Focus
Key Achievements
Top Papers
- 1Digital twin: Data exploration, architecture, implementation and future148 citations · 2024
- 2Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review145 citations · 2021
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- 5Next generation legged robot locomotion: A review on control techniques16 citations · 2024
- 6Development of a 3DOF Color Sorting based Robotic Arm using MATLAB GUI7 citations · 2020
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