Adaptive Behavior in Digital Nomads: An Interactive Spatial Structure Study Using Machine Learning
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Artist Statement
Yuehong Zhou is a Computational Design Researcher, Senior UX / Product Designer, and former Huawei UX Designer with 4 years of experience across OS-level privacy interactions, intelligent mobility HMI, and human-centred AI products. Her interdisciplinary practice bridges UX/UI design, computational design, human-computer interaction, and large-scale digital product implementation. Her work has been recognised as an IDEA 2026 Finalist and has received Gold Awards from the MUSE Design Awards and the London Design Awards.
Work Statement
The project "B.E.A.S.T. the Behavioral Extended Adaptive Scissor Transformer" investigates autonomous spatial embodiment through robotically controlled scissor structures. Beast body plans are composed of linkages of various components with passive and active joints enabling them to maximize degrees of adaptation while minimizing actuation. Beast is self-aware through a lidar sensory system and through motor sensor feedback, evolving its self-adapting behavior in relation to its changing human and non-human environment. The research involves parallel development and integration of robotic prototypes with sensor actuation control systems, and a Unity-based simulator using reinforcement learning to learn adaptive policies.
Adaptive Behavior in Digital Nomads: An Interactive Spatial Structure Study Using Machine Learning was presented in Mind × Body: Catalyst Phenomenon Archive, organised by the Reality Intelligence Association as part of London Design Festival 2026.
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