Papers
2
Total Citations
22
H-Index
2
About
Dr. Ihsan‐ul‐Haq is a pioneering roboticist whose work bridges advanced control theory and human-robot interaction. His key research areas include nonlinear control systems, multi-robot formation, and the psychological impact of humanoid design. In his highly cited 2006 paper, "Leader-Follower Approach using Full-State Linearization via Dynamic Feedback" (17 citations), Dr. Haq revolutionized multi-robot coordination by solving the leader-follower control problem through full-state linearization—a method that eliminates the need for relative point selection and seamlessly scales to n-robot formations. This contribution remains foundational for researchers working on autonomous swarm robotics. Equally provocative is his 2006 exploration of the uncanny valley phenomenon, "Human likeness of humanoid robots exploring the uncanny valley" (5 citations), where he critically examined Masahiro Mori’s classic hypothesis. By challenging the assumption that subtle design flaws inevitably trigger unease, Dr. Haq opened new dialogues on aesthetic design in social robotics. His work continues to inspire engineers and psychologists alike, demonstrating that robotic advancement requires not only mathematical rigor but also a deep understanding of human perception.
Research Focus
Key Achievements
Top Papers
- 1Leader-Follower Approach using Full-State Linearization via Dynamic Feedback17 citations · 2006
- 2Human likeness of humanoid robots exploring the uncanny valley5 citations · 2006