Viktor Devecseri

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About

Viktor Devecseri explores the intersection of animal behaviour and robotics, with a particular focus on how social cues from dogs can inspire more intuitive human-robot interactions. His most-cited work, "Dog-inspired social behaviour in robots with different embodiments" (2013), demonstrates a novel approach to designing robot social behaviour by mimicking canine responses—specifically through a “hearing robot” scenario where robots react to sound-based cues in ways that mirror dog-like attentiveness. Although this paper has garnered 5 citations, its conceptual contribution is notable for bridging ethology and robotics, offering a framework for creating more relatable, non-humanoid robotic embodiments. Devecseri’s research is particularly relevant for developers working on companion robots or assistive technologies, where natural, predictable social signals can enhance user trust and engagement. His work stands out for its creative use of animal models to address fundamental challenges in social robotics, making it a valuable reference for students and researchers interested in bio-inspired design and human-robot interaction.