Satyasrikanth Palle

Papers

Total Citations

H-Index

About

Satyasrikanth Palle is a robotics and embedded systems researcher whose work focuses on intelligent automation and human-robot interaction. His most cited paper, "Image Processing Based Human Pursuing Robot" (2020, 6 citations), presents a novel approach to developing autonomous robots capable of tracking and following human targets using image processing techniques. By employing barcode-based target identification, Palle's work addresses key challenges in real-time object tracking and mobile robot navigation, contributing to the advancement of daily life support robots. His research demonstrates practical applications in assistive robotics, where machines can autonomously follow individuals for tasks ranging from elderly care to industrial logistics. While his citation count is modest, the work represents foundational contributions to low-cost, vision-based robotic systems. Palle's approach of combining embedded systems with computer vision algorithms offers accessible solutions for human-robot collaboration, making his research particularly relevant for students and engineers exploring affordable automation technologies. His work continues to inspire developments in autonomous tracking systems and human-centered robotics.