Abrahim Ali Shah
Papers
1
Total Citations
2
H-Index
1
About
Dr. Abrahim Ali Shah is a robotics researcher specializing in visual servoing, autonomous manipulation, and mechatronic systems. His most-cited work, "Object tracking with a robotic manipulator mounted on ground vehicle using Image Based Visual Servoing" (2017, 2 citations), introduces a novel approach for real-time object detection and tracking using a 2-DOF robotic arm integrated with an image-based visual servoing (IBVS) technique. This contribution demonstrates how vision-guided control can enable precise manipulation on mobile platforms, bridging the gap between perception and actuation in dynamic environments. Dr. Shah’s research has implications for field robotics, including autonomous inspection and remote handling tasks. While his citation count reflects an early-career stage, his work represents a foundational step toward robust, vision-driven robotic systems. His achievements include developing a fully functional prototype that integrates electrical actuators with computer vision algorithms, showcasing practical engineering innovation. For students and researchers, Dr. Shah’s work offers a clear example of how classical control theory and modern computer vision can be combined to solve real-world robotic challenges.
Research Focus
Key Achievements
Top Papers
- 1