Papers
8
Total Citations
57
H-Index
5
About
Syed Irtiza Ali Shah is a robotics researcher whose work spans human-robot interaction, industrial automation, and autonomous navigation. His most cited paper, "Interaction of robot with humans by communicating simulated emotional states through expressive movements" (17 citations), explores how robots can convey emotions through non-verbal cues, advancing socially aware robotics. In industrial automation, he has contributed to precision engineering with "An Approach to Measure Functional Parameters for Ball-Screw Drives" (10 citations) and "Modeling and Analysis of a Vibratory Bowl Feeder" (4 citations), addressing adaptability challenges in manufacturing. Shah's foundational work in vision-based navigation includes "Motion Estimation for Obstacle Detection and Avoidance Using a Single Camera for UAVs/Robots" (7 citations) and "Vision based 3D obstacle detection using a single camera for robots/UAVs" (3 citations), where he developed efficient single-camera systems for obstacle detection in unknown environments—critical for lightweight aerial and ground robots. His kinematic analysis of robotic arms ("Analysis of End-Effector position and orientation for 2P-3R Planer Pneumatic Robotic Arm," 8 citations) and intelligent fault detection ("An Intelligent Approach to Detect Actuator Signal Errors Based on Remnant Filter," 6 citations) further demonstrate his versatility. With cumulative citations across these works, Shah's research bridges emotional communication, precision mechanics, and autonomous perception, offering practical solutions for both industrial and field robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2An Approach to Measure Functional Parameters for Ball-Screw Drives10 citations · 2020
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- 5
- 6Modeling and Analysis of a Vibratory Bowl Feeder4 citations · 2021
- 7Vision based 3D obstacle detectionusing a single camera for robots/UAVs3 citations · 2009
- 8