Ivan Serina

Papers

Total Citations

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About

Ivan Serina’s research lies at the intersection of artificial intelligence, robotics, and cognitive architectures, with a particular focus on motivated, goal-directed autonomous systems. His most cited work, “MADbot: a motivated and goal directed robot” (2005, 12 citations), challenges conventional planning paradigms by proposing that robots should not merely execute externally imposed goals but instead possess internal motivations that drive continuous, adaptive behavior. This foundational contribution reimagines the role of planning systems, shifting from static, one-shot plan generation to dynamic, ongoing goal management. Serina’s ideas have influenced subsequent work in autonomous robotics and cognitive modeling, particularly in how agents can sustain long-term operation without human intervention. While his citation count reflects a niche but dedicated audience, the conceptual depth of his work has made it a touchstone for researchers exploring intrinsic motivation in artificial agents. His achievements include advancing the theoretical framework for self-directed robotic behavior, bridging gaps between planning, execution, and motivation—a vision that remains relevant as the field moves toward more autonomous, lifelong learning systems.