Ramez M. Haddad
Papers
1
Total Citations
11
H-Index
1
About
Ramez M. Haddad is a robotics researcher whose work focuses on human-robot interaction and assistive mobile robotics. His most cited contribution, "A person-following robotic cart controlled via a smartphone application: design and evaluation" (2017, 11 citations), addresses a key challenge in service robotics: enabling robots to autonomously track and follow a human user in real-world environments. Haddad’s approach integrates multiple sensing modalities—including cameras, infrared, laser, and ultrasonic sensors—to achieve robust person detection and following. The system is controlled through a smartphone application, making it accessible and practical for applications in military, civil, and domestic settings. This work demonstrates Haddad’s commitment to developing intuitive, user-friendly robotic systems that can assist with tasks such as load carrying or navigation support. By bridging the gap between advanced sensing algorithms and everyday usability, his research contributes to the growing field of personal and service robotics. Haddad’s work is particularly relevant for students and researchers interested in mobile robot navigation, sensor fusion, and human-centered design.
Research Focus
Key Achievements
Top Papers
- 1