  The tremendous development in large language models (LLM) has led to a new
wave of innovations and applications and yielded research results that were
initially forecast to take longer. In this work, we tap into these recent
developments and present a meta-study about the potential of large language
models if deployed in social robots. We place particular emphasis on the
applications of social robots: education, healthcare, and entertainment. Before
being deployed in social robots, we also study how these language models could
be safely trained to ``understand'' societal norms and issues, such as trust,
bias, ethics, cognition, and teamwork. We hope this study provides a
resourceful guide to other robotics researchers interested in incorporating
language models in their robots.
