Pramod Kumar Thotapalli
Papers
2
Total Citations
6
H-Index
2
About
Pramod Kumar Thotapalli is a researcher specializing in computer vision and robotics, with a particular focus on motion detection and object tracking for autonomous systems. His work centers on developing efficient feature extraction methods for moving objects, primarily through background subtraction techniques—a critical component for enabling robots to perceive and interact with dynamic environments. In his most-cited paper, "Feature extraction of moving objects using background subtraction technique for robotic applications" (2020), Thotapalli introduces a robust approach to isolate and track moving targets, directly addressing challenges in real-time robotic perception. He further extends this methodology in "A New Approach to Control the Position of Joint Arm Robot Using Image Background Subtraction Technique" (2019), demonstrating how visual feedback can be harnessed for precise joint arm control. While his citation counts (4 and 2, respectively) reflect the niche and emerging nature of his contributions, Thotapalli’s work lays foundational groundwork for integrating low-cost vision systems into robotic platforms. His research is particularly relevant for students and engineers exploring practical computer vision solutions in robotics, offering scalable techniques for applications ranging from industrial automation to assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2