Millimeter-wave Foresight Sensing for Safety and Resilience in Autonomous Operations
Daniel Mitchell, Jamie Blanche, Sam T. Harper, Theodore Lim, Valentin, Robu, Ikuo Yamamoto, David Flynn

TL;DR
This paper explores millimeter-wave radar sensing to enhance safety and situational awareness in autonomous robotic operations, especially for detecting humans and obstacles beyond line of sight and through walls.
Contribution
It demonstrates the effectiveness of frequency modulated continuous wave radar in human and through-wall detection, improving safety and resilience in CPS robotics.
Findings
Radar can distinguish humans from infrastructure
Enhanced situational awareness through through-wall detection
Improved safety in autonomous navigation
Abstract
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…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Distributed Sensor Networks and Detection Algorithms · Millimeter-Wave Propagation and Modeling
