Badr El Kari

Cadi Ayyad University, Euro-Mediterranean University of Fes

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About

Badr El Kari is a robotics researcher whose work sits at the intersection of intelligent control, bio-inspired computation, and humanoid simulation. His research focuses on developing autonomous navigation systems and digital-twin technologies that bridge the gap between simulation and real-world robotic performance. In his highly cited 2019 work, El Kari designed and implemented an FPGA-based fuzzy logic architecture for mobile robots, enabling intelligent behaviors fusion where multiple actions can be activated simultaneously with adaptive degrees of activation—a significant contribution to autonomous navigation. More recently, he has pioneered open-source digital-twin development for the Pepper humanoid robot within the ROS 2 framework, unlocking new frontiers in machine learning and simulation realism. This 2024 publication has already garnered attention for its potential to democratize advanced robotics research. El Kari has also contributed a comprehensive overview of bio-inspired algorithms in robotics, synthesizing nature-inspired approaches for the field. With over a decade of cumulative citations and a trajectory toward increasingly sophisticated simulation-to-reality transfer, his work is shaping the future of intelligent, autonomous robotic systems.