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About

Alan Lindsay is a researcher working at the intersection of artificial intelligence, automated planning, and social robotics, with a particular focus on deploying intelligent systems in real-world human-facing environments. His work spans robot architecture design, domain model acquisition, and the application of AI planning to socially assistive robotics. Lindsay's 2018 paper introducing SAMI, a multi-sense robot architecture extending the reactive paradigm with an interactive layer, has become an influential contribution to human-robot interaction research, accumulating 20 citations. His 2016 work on automated numeric domain model acquisition addresses critical challenges in enabling autonomous systems to reason effectively in complex environments, garnering 18 citations. Perhaps his most distinctive research thread involves the co-design and deployment of social robots in paediatric emergency departments, where his systems use automated planning to manage children's affective states during painful medical procedures — a deeply impactful application combining technical rigor with genuine humanitarian purpose. More recently, Lindsay has explored PDDL modelling improvements through software engineering principles and lightweight cognition models for socio-affective companions. Across his portfolio, Lindsay demonstrates a consistent commitment to making AI planning practically useful in challenging, human-centred domains.