Papers
17
Total Citations
367
H-Index
9
About
Khelifa Baizid is a leading researcher in aerial and industrial robotics, whose work bridges the critical gap between autonomous systems and real-world operational efficiency. His primary research areas include the behavioral control of unmanned aerial vehicle manipulator systems (UAVMS), time-optimization for industrial robotized tasks, and robust control for autonomous wheeled mobile robots. Baizid’s most significant contributions lie in developing novel control architectures that enable complex, coordinated behaviors. Notably, his work on the Null Space-based Behavioral (NSB) control for UAV manipulators, developed under the EU-funded ARCAS project, has garnered 40 citations for its innovative approach to aerial manipulation. His seminal paper on "Behavioral control of unmanned aerial vehicle manipulator systems" (80 citations) remains a cornerstone in the field. In industrial robotics, Baizid pioneered the use of genetic algorithms for task scheduling and trajectory optimization, achieving a 57-citation impact by demonstrating how to maximize productivity through minimized cycle times. He also developed IRoSim, a CAD-integrated simulation platform for industrial robotics design, and formulated a logic-based control scheme for wheeled mobile robots that accounts for both longitudinal and lateral slip (51 citations). Through these achievements, Baizid has established himself as a pivotal figure in advancing both autonomous aerial manipulation and efficient industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Behavioral control of unmanned aerial vehicle manipulator systems80 citations · 2016
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- 6Genetic Algorithms based method for time optimization in robotized site25 citations · 2010
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- 8Vector Maps: A Lightweight and Accurate Map Format for Multi-robot Systems11 citations · 2016
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