Papers
11
Total Citations
77
H-Index
6
About
Khawaja Fahad Iqbal is a robotics and artificial intelligence researcher whose work spans human-robot interaction (HRI), motion planning, autonomous navigation, and personality computing. With a research trajectory spanning over a decade, Iqbal has made sustained contributions to the challenge of enabling robots to perceive, understand, and respond to human behavior in real-world environments. His early work pioneered 3D feature-based human detection and tracking for mobile service robots, laying groundwork that has informed subsequent HRI research. He advanced collision avoidance strategies through collaborative extensions of the Optimal Reciprocal Collision Avoidance algorithm and developed neural network-driven path planning approaches for indoor navigation. More recently, Iqbal has focused on collaborative robots, proposing human motion prediction frameworks and HRI-aware cost functions for real-time motion planning that prioritize both efficiency and worker safety. Among his most notable achievements is a multimodal humanoid system for Big Five personality assessment, integrating facial, textual, and speech-based cues — a pioneering contribution to affective computing. His exploration of robot emotional expression through dynamic body gestures further demonstrates his commitment to naturalistic social robotics. With cumulative citations exceeding 75 across his published works, Iqbal's research meaningfully bridges intelligent robotics, human-centered computing, and applied machine learning.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Human detection and following by a mobile robot using 3D features11 citations · 2013
- 4
- 5Human tracking by a mobile robot using 3D features7 citations · 2013
- 6Collaborative Optimal Reciprocal Collision Avoidance for Mobile Robots6 citations · 2015
- 7
- 8
- 9
- 10