Surface-embedded passive radio frequency (PRF) exteroception is a method whereby an action to be executed by a mobile unit is selected through a signal received from a surface-embedded external passive RFID transponder. This paper describes how Kepler’s hexagonal packing pattern is used to embed passive RFID transponders into a carpet to create PRF surfaces. Proof-of-concepts experiments are presented that show how such surfaces enable mobile robots to reliably accomplish point-to-point navigation indoors and outdoors. Two greedy algorithms are presented for automated design of PRF surfaces. A theoretical extension of the classic Buffon’s Needle problem from computational geometry is presented as a possible way to optimize the packing of RF transponders on a surface.
Vladimir A. Kulyukin, Aliasgar Kutiyanawala, Mingh