Abstract-It remains one of the main challenges for mobile robots in a human inhabited environment to interact with surrounding individuals. Usually, recognizing touch gestures, perceiving proximity information, or distinguishing between individuals is both a cost and configuration intensive task. In this demonstration we utilize inexpensive Bluetooth Low Energy (BLE) devices attached to the robot and participants. We derive information of participants by measuring the received signal strength (RSS) between BLE devices. The system's flexibility is shown by using a proprietary mobile spherical robot. Three proof-of-concept demonstrations will be presented, each refers to one information factor about individuals in the surrounding environment: A) proximity, B) touch, and C) who is interacting with the robot. The audience can observe the robot's output data of the raw RSS to surrounding BLE devices attached to wristbands worn by interacting participants.
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