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J.-M. Hasemann is a pioneering researcher in intelligent robotics, focusing on the foundational challenge of robot control architectures. His work bridges theoretical frameworks and practical implementation, addressing how autonomous systems can plan, execute, and adapt in dynamic environments. His most influential paper, "Robot control architectures: application requirements, approaches, and technologies" (1995, 7 citations), provides a comprehensive survey of control paradigms, identifying key attributes of intelligent robotic applications and comparing different architectural flavors—a foundational reference for the field. Hasemann introduced novel concepts in task-level control, including behavior switching and rigorous plan representation, as detailed in his work on graph grammars and fuzzy logic (2002, 3 citations). A major contribution is his redefinition of monitoring in autonomous systems, moving beyond simple execution-time checks to dynamic plan-validity assessment and risk forecasting. His papers "An embedded monitoring system for intelligent robots" (2002, 3 citations) and "A new approach toward monitoring in intelligent autonomous robots" (1993, 3 citations) establish monitoring as an independent, deeply embedded function within planning and execution cycles. Though his citation counts are modest, Hasemann’s insights into architecture and monitoring have shaped subsequent research in robust, adaptive robot control.