Robert Lieck

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About

Robert Lieck’s research lies at the critical intersection of artificial intelligence, robotics, and moral philosophy, where he tackles the profound challenge of designing autonomous systems that can reason ethically. His most cited work, “Towards Moral Autonomous Systems” (2017, 47 citations), co-authored with both philosophers and engineers, is a landmark contribution that bridges the gap between abstract ethical theory and concrete technical implementation. Rather than treating ethics as an afterthought, Lieck systematically addresses how moral principles can be embedded into the decision-making algorithms of robots and AI agents, making this paper essential reading for anyone working on responsible AI. In parallel, his work on information-theoretic approaches to learning—such as “The Advantage of Cross Entropy over Entropy in Iterative Information Gathering” (2014)—has advanced the foundations of efficient exploration in reinforcement learning and robotics. More recently, Lieck has applied his expertise to surgical robotics, developing adaptive graph learning methods for anticipating surgical workflow from spatial video data (2025). Across these diverse domains, his research consistently demonstrates a rare ability to unite rigorous technical analysis with deep ethical reflection, making him a distinctive voice in the quest for intelligent, responsible autonomous systems.