  This paper examines some common problems in Human-Robot Interaction (HRI)
causing failures and troubles in Chat. A given use case's design decisions
start with the suitable robot, the suitable chatting model, identifying common
problems that cause failures, identifying potential solutions, and planning
continuous improvement. In conclusion, it is recommended to use a closed-loop
control algorithm that guides the use of trained Artificial Intelligence (AI)
pre-trained models and provides vocabulary filtering, re-train batched models
on new datasets, learn online from data streams, and/or use reinforcement
learning models to self-update the trained models and reduce errors.
