  The breakthrough in AI and Machine Learning has brought a new revolution in
robotics, resulting in the construction of more sophisticated robotic systems.
Not only can these robotic systems benefit all domains, but also can accomplish
tasks that seemed to be unimaginable a few years ago. From swarms of autonomous
small robots working together to more very heavy and large objects, to
seemingly indestructible robots capable of going to the harshest environments,
we can see robotic systems designed for every task imaginable. Among them, a
key scenario where robotic systems can benefit is in disaster response
scenarios and rescue operations. Robotic systems are capable of successfully
conducting tasks such as removing heavy materials, utilizing multiple advanced
sensors for finding objects of interest, moving through debris and various
inhospitable environments, and not the least have flying capabilities. Even
with so much potential, we rarely see the utilization of robotic systems in
disaster response scenarios and rescue missions. Many factors could be
responsible for the low utilization of robotic systems in such scenarios. One
of the key factors involve challenges related to Human-Robot Interaction (HRI)
issues. Therefore, in this paper, we try to understand the HRI challenges
involving the utilization of robotic systems in disaster response and rescue
operations. Furthermore, we go through some of the proposed robotic systems
designed for disaster response scenarios and identify the HRI challenges of
those systems. Finally, we try to address the challenges by introducing ideas
from various proposed research works.
