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About

Martin Doran’s research focuses on autonomic computing for mobile robotics, specifically developing self-managing systems that enhance robot reliability and longevity. His major contributions center on creating architectures that allow robots to autonomously detect, diagnose, and recover from hardware faults without human intervention. His most cited work, “Autonomic architecture for fault handling in mobile robots” (2020, 16 citations), presents a generic framework for managing hardware faults in mobile robots, drawing on autonomic principles to improve fault detection and response. Doran has also addressed critical operational challenges, including sonar sensor fault management for planetary rovers destined for Mars, battery degradation management to extend robot uptime, and self-adaptive wheel alignment to maintain mobility and reduce maintenance needs. His work has direct implications for space exploration, as noted in his papers referencing NASA and ESA plans for future Mars rovers. With a total of 26 citations across his publications, Doran’s research is foundational for developing more autonomous, resilient, and cost-effective robotic systems, particularly in remote or hazardous environments where manual intervention is impractical.