  Throughout the COVID-19 pandemic, the most common symptom displayed by
patients has been a fever, leading to the use of temperature scanning as a
preemptive measure to detect potential carriers of the virus. Human employees
with handheld thermometers have been used to fulfill this task, however this
puts them at risk as they cannot be physically distanced and the sequential
nature of this method leads to great inconveniences and inefficiency. The
proposed solution is an autonomously navigating robot capable of conversing and
scanning people's temperature to detect fevers and help screen for COVID-19. To
satisfy this objective, the robot must be able to (1) navigate autonomously,
(2) detect and track people, and (3) get individuals' temperature reading and
converse with them if it exceeds 38{\deg}C. An autonomously navigating mobile
robot is used with a manipulator controlled using a face tracking algorithm,
and an end effector consisting of a thermal camera, smartphone, and chatbot.
The goal is to develop a functioning solution that performs the above tasks. In
addition, technical challenges encountered and their engineering solutions will
be presented, and recommendations will be made for enhancements that could be
incorporated when approaching commercialization.
