  Robotic platforms are highly programmable, scalable and versatile to complete
several tasks including Inspection, Maintenance and Repair (IMR). Mobile
robotics offer reduced restrictions in operating environments, resulting in
greater flexibility; operation at height, dangerous areas and repetitive tasks.
Cyber physical infrastructures have been identified by the UK Robotics Growth
Partnership as a key enabler in how we utilize and interact with sensors and
machines via the virtual and physical worlds. Cyber Physical Systems (CPS)
allow for robotics and artificial intelligence to adapt and repurpose at pace,
allowing for the addressment of new challenges in CPS. A challenge exists
within robotics to secure an effective partnership in a wide range of areas
which include shared workspaces and Beyond Visual Line of Sight (BVLOS).
Robotic manipulation abilities have improved a robots accessibility via the
ability to open doorways, however, challenges exist in how a robot decides if
it is safe to move into a new workspace. Current sensing methods are limited to
line of sight and are unable to capture data beyond doorways or walls,
therefore, a robot is unable to sense if it is safe to open a door. Another
limitation exists as robots are unable to detect if a human is within a shared
workspace. Therefore, if a human is detected, extended safety precautions can
be taken to ensure the safe autonomous operation of a robot. These challenges
are represented as safety, trust and resilience, inhibiting the successful
advancement of CPS. This paper evaluates the use of frequency modulated
continuous wave radar sensing for human detection and through-wall detection to
increase situational awareness. The results validate the use of the sensor to
detect the difference between a person and infrastructure, and increased
situational awareness for navigation via foresight monitoring through walls.
