Papers
43
Total Citations
735
H-Index
14
About
Abdullah Aamir Hayat is a robotics researcher whose work spans two deeply interconnected domains: robotic kinematics and self-reconfigurable robotic systems. His early contributions focused on the kinematic identification of industrial robots, most notably through systematic methods for determining Denavit-Hartenberg parameters — foundational work that has garnered over 60 citations and addressed real-world inaccuracies between manufacturer-specified and actual robot configurations. He further advanced this field by developing geometric approaches using monocular cameras for kinematic calibration, cited nearly 70 times. Hayat's research subsequently expanded into self-reconfigurable and adaptive robotics, where he has made particularly distinctive contributions. His 2020 taxonomy and evaluation framework (TAEV) for self-reconfigurable robots, his most-cited work with 84 citations, brought much-needed systematic structure to a fragmented field. His Panthera robot series — reconfigurable pavement-sweeping platforms capable of adapting their width to different environments — exemplifies his translational approach, blending mechanical design, vision-based control, and deep learning for real-world inspection and cleaning tasks. Collectively, his papers have accumulated over 480 citations, reflecting sustained influence across academic and applied robotics communities. Hayat's portfolio represents a coherent research vision: building robots that are not only precise, but intelligently adaptable to dynamic physical environments.
Research Focus
Key Achievements
Top Papers
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- 3Identification of Denavit-Hartenberg Parameters of an Industrial Robot64 citations · 2013
- 4Deep Learning Based Pavement Inspection Using Self-Reconfigurable Robot52 citations · 2021
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- 8Panthera: Design of a Reconfigurable Pavement Sweeping Robot35 citations · 2019
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