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About

Maizura Mokhtar is a pioneering researcher at the intersection of artificial immune systems, bio-inspired robotics, and autonomous systems. Her work draws profound inspiration from biological processes to solve critical challenges in robotics, particularly in error detection, energy management, and system homeostasis. Mokhtar’s most influential contribution is her modified Dendritic Cell Algorithm (DCA), which adapts the human immune system’s danger detection mechanisms for on-line error detection in robotic systems—a paper that has garnered 39 citations and remains foundational in the field of immunocomputing. She has also advanced the concept of artificial energy homeostasis for self-reconfigurable modular robots, proposing novel frameworks that enable distributed energy harvesting and self-sufficiency within robotic collectives. Her research extends to neuro-inspired navigation, where she has explored hippocampus place cells for spatial mapping and path planning in autonomous robots. Mokhtar’s work on artificial lymph node architectures for collective robotic systems, part of the SYMBRION project, demonstrates her commitment to scalable, decentralized control in swarm robotics. Through her immune-inspired frameworks, she has shown how biological principles can dramatically increase the endurance and autonomy of robots, making her a key figure in the development of resilient, self-regulating artificial systems.