Papers
19
Total Citations
940
H-Index
10
About
Zulfiqar Habib is a prolific researcher whose work spans robotics, computer vision, and computational geometry, with particular expertise in autonomous systems and human-computer interaction. He has made substantial contributions to the field of robotic path planning, most notably through his widely cited 2016 survey on RRT*-based optimal path planning approaches, which has garnered over 314 citations and serves as a foundational reference for researchers in autonomous navigation. His investigations extend to complete coverage path planning for non-holonomic mobile robots and memory-efficient adaptations of classical algorithms like A*, demonstrating a consistent commitment to practical, real-world robotics applications. Equally significant is Habib's influence in human activity recognition, where his comprehensive 2017 review of handcrafted and learning-based action representation approaches — with 174 citations — has become an essential resource for computer vision researchers. His earlier 2016 vision-based activity recognition review further solidifies this expertise. Beyond robotics and vision, Habib has contributed meaningfully to geometric modeling, publishing foundational work on Pythagorean hodograph curves and smooth geometric transitions between circles. Collectively, his research portfolio spans over 799 citations, reflecting broad, interdisciplinary impact and enduring relevance across multiple active research communities.
Research Focus
Key Achievements
Top Papers
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- 3Vision Based Human Activity Recognition: A Review100 citations · 2016
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- 6Online complete coverage path planning using two-way proximity search42 citations · 2017
- 7G2 cubic transition between two circles with shape control39 citations · 2008
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- 10Optimal Path Planning for Mobile Robots Using Memory Efficient A*16 citations · 2016