Anas Bushnag
Papers
1
Total Citations
31
H-Index
1
About
Anas Bushnag is a robotics researcher whose work focuses on enabling autonomous navigation and human-robot interaction in indoor environments. His most-cited paper, "A SLAM-Based Localization and Navigation System for Social Robots: The Pepper Robot Case" (2023, 31 citations), addresses critical challenges in indoor robot mobility, such as obstacle avoidance and path optimization. By integrating Simultaneous Localization and Mapping (SLAM) with social robotics, Bushnag has contributed to making robots like Pepper more capable of navigating dynamic, human-centered spaces safely and efficiently. His research bridges the gap between robust localization algorithms and real-world deployment, with implications for service robotics, healthcare, and assistive technologies. Beyond this flagship work, Bushnag’s broader contributions explore how robots can perceive and interact with their surroundings, advancing the field of autonomous systems. With a growing citation impact, his work is a valuable resource for students and researchers interested in practical, application-driven robotics—particularly those seeking to understand how SLAM can be adapted for social robots operating in cluttered, unpredictable indoor settings.
Research Focus
Key Achievements
Top Papers
- 1