Abstract:
Robotics technology has long been renowned for its ability to handle com-
plex, repetitive, and sometimes risky tasks that are impossible for humans.
In industries, robots are preferred for precise operations in various manu-
facturing stages of a product. On the other hand, domestic service robot is
the other side of robotic technology that brings the smart robotic system
into our homes. Service robots are specially designed to interact and assist
humans where they provide a range of services, including caregiving, com-
panionship, and entertainment. In addition, service robots can elevate living
standards by assisting with essential daily activities, especially for people
with disabilities.
Nowadays, the incorporation of generative pretrained models in robotic sys-
tems to provide a fluid conversation between humans and robots is a highly
researched topic. Though pretrained generative language models can be
incorporated into conversational systems, they often fail to offer healthy
conversations with users. Most pretrained models are trained on billions
of data points from blogs, posts, and forums, where language quality is not
a concern. However, language quality and clarity matter greatly when de-signing robotic systems to interact with humans,
especially the elderly and children
