P Mahanth
Papers
1
Total Citations
2
H-Index
1
About
P Mahanth is a researcher focused on intelligent automation and autonomous systems, with particular expertise in image processing for robotic navigation and obstacle avoidance. Their most-cited work, "Comparative analysis of image processing techniques for obstacle avoidance and path deduction" (2021), provides a systematic evaluation of computer vision methods for enabling unmanned ground vehicles, assistive wheelchairs, and domestic robots to perceive and navigate their environments safely. This study examines driving, braking, and path-planning algorithms, offering practical insights for real-world deployment. While early in their citation trajectory, Mahanth's contributions address critical challenges in autonomous transportation and assistive robotics, bridging the gap between theoretical image processing and applied automation. Their work underscores the growing societal need for reliable, vision-based navigation systems in military, healthcare, and domestic settings. As the field of autonomous systems continues to expand, Mahanth's comparative framework serves as a foundational reference for researchers developing robust obstacle detection and path deduction solutions.
Research Focus
Key Achievements
Top Papers
- 1