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As humanoids work alongside people, there will be many situations where they need to handover objects to people. If humanoids are to fulfill their purpose effectively, it is imperative that they perform handovers properly. When handing over an object, the giver needs to determine where to grasp and how to orient the object properly in order to ensure a safe and efficient handover. We propose and implement...
To enable robots to learn handover orientations from observing natural handovers, we conduct a user study to measure and compare natural handover orientations with giver-centered and receiver-centered handover orientations for twenty common objects. We use a distance minimization approach to compute mean handover orientations. We posit that, computed means of receiver-centered orientations could be...
We present a method for enabling robots to determine appropriate grasp configurations for handovers - i.e., where to grasp, and how to orient an object when handing it over. In our method, a robot first builds a knowledge base by observing demonstrations of how certain objects are used and their proper handover grasp configurations. Objects in the knowledge base are then organized based on their movements...
Object handover is a basic task in many human-robot interactive scenarios and therefore, it is important for assistive robots to be able to perform proper handovers. We previously designed a human-inspired grip-force-varying handover controller for a robot giver and showed on a Willow Garage PR2 robot that the controller yields human-like and human-preferred handovers. The PR2 robot had a non-compliant...
In this study, we investigate and characterize haptic interaction in human-to-human handovers and identify key features that facilitate safe and efficient object transfer. Eighteen participants worked in pairs and transferred weighted objects to each other while we measured their grip forces and load forces. Our data show that during object transfer, both the giver and receiver employ a similar strategy...
A 5.8GHz bistatic RFID system utilising retrodirective active and passive backscattering tags is presented. When used with an offset subcarrier heterodyne RFID reader in excess of 16m range can be achieved for a 1% BER at 24dBm EIRP.
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