Papers
3
Total Citations
46
H-Index
3
About
R. M. Gomathi is a researcher whose work spans artificial intelligence, robotics, and assistive technology, with a particular focus on deep learning applications in medical imaging and autonomous systems. Her most impactful contribution is in medical image analysis, where she developed a brain tumor segmentation and detection system using convolutional neural networks (CNNs) and the VGG16 architecture for MRI images. This work, which has garnered 18 citations, demonstrates how deep learning and image processing can be combined to create automated cancer detection systems with high accuracy. In the field of assistive robotics, Gomathi has designed a voice recognition-based multi-robot system for blind individuals that integrates Lidar sensors for navigation, a project that has accumulated 16 citations and addresses the challenge of guiding visually impaired people through unpredictable environments. She has also contributed to agricultural technology, developing autonomous robots for precision farming to replace labor-intensive traditional methods. Her research consistently applies cutting-edge AI and robotics to solve real-world problems, from healthcare diagnostics to accessibility and sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1
- 2Voice Recognition Based Multi Robot for Blind People Using Lidar Sensor16 citations · 2020
- 3