Andy Webster
Papers
1
Total Citations
7
H-Index
1
About
Andy Webster is a pioneering researcher at the intersection of robotics, artificial life, and interactive art. His work fundamentally explores how physical systems can achieve epistemic autonomy—the capacity for machines to generate their own knowledge through embodied interaction with the world. His most-cited paper, "Towards Epistemically Autonomous Robots: Exploiting the Potential of Physical Systems" (2003, 7 citations), provides a foundational framework for constructing interactive artworks capable of displaying genuinely novel behavior. Drawing on Peter Cariani's taxonomy of adaptive robotic systems, Webster and his co-authors map out how robots can move beyond pre-programmed responses to become true co-creators in artistic and exploratory contexts. This work bridges the gap between artificial intelligence theory and creative practice, influencing a generation of robotic artists and researchers interested in emergent behavior. Webster's contributions are particularly notable for their interdisciplinary vision, demonstrating that the most profound advances in robotics may come not from perfecting control algorithms, but from embracing the unpredictable richness of physical interaction.
Research Focus
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Top Papers
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