  Imaginative play is an area of creativity that could allow robots to engage
with the world around them in a much more personified way. Imaginary play can
be seen as taking real objects and locations and using them as imaginary
objects and locations in virtual scenarios. We adopted the story generation
capability of large language models (LLMs) to obtain the stories used for
imaginary play with human-written prompts. Those generated stories will be
simplified and mapped into action sequences that can guide the agent in
imaginary play. To evaluate whether the agent can successfully finish the
imaginary play, we also designed a text adventure game to simulate a house as
the playground for the agent to interact.
