Papers
5
Total Citations
96
H-Index
5
About
Wajahat Kazmi is a researcher whose work sits at the compelling intersection of robotics, computer vision, and social computing. His primary research areas include human-robot interaction, face recognition, and autonomous robotic systems, with a particular focus on how robots can leverage online social networks to build more meaningful, long-term relationships with humans. Kazmi’s most influential contribution is the “FaceBots” project, which pioneered the integration of face recognition, natural language processing, and online social networking to create robots capable of sustained social engagement. This work, detailed in papers such as “Friends with Faces” (26 citations) and “FaceBots: Steps Towards Enhanced Long-Term Human-Robot Interaction” (20 citations), demonstrated a novel synergy between digital social identities and physical robotic interaction. Beyond social robotics, Kazmi has also made notable contributions to field robotics, including an autonomous system for mapping weeds in agriculture (24 citations) and underwater dam wall detection using sonar (16 citations). His diverse portfolio showcases a unique ability to bridge cutting-edge social technologies with practical, real-world robotic applications, from farms to underwater infrastructure.
Research Focus
Key Achievements
Top Papers
- 1
- 2An Autonomous Robotic System for Mapping Weeds in Fields24 citations · 2013
- 3
- 4Dam wall detection and tracking using a Mechanically Scanned Imaging Sonar16 citations · 2009
- 5