Title | ||
---|---|---|
Learning-Adaptive Deadband Sampling for Teleoperation-based Skill Transfer over the Tactile Internet |
Abstract | ||
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In remote skill transfer, demonstrations of a task are provided over a network via teleoperation and the remote robot learns from these teleoperated demonstrations. In a typical bilateral teleoperation scenario, transmission of position/velocity and force/torque samples require high packet rates for system transparency. In this paper we present a data rate efficient approach in teleoperation while... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/ISWCS49558.2021.9562240 | 2021 17th International Symposium on Wireless Communication Systems (ISWCS) |
Keywords | DocType | ISBN |
Wireless communication,Tactile Internet,Adaptation models,Sensitivity,Force,Statistical distributions,Data models | Conference | 978-1-7281-7432-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Basak Gulecyüz | 1 | 0 | 0.34 |
Luca Oppici | 2 | 0 | 0.34 |
Xiao Xu | 3 | 82 | 10.00 |
Andreas Noll | 4 | 0 | 0.68 |
Eckehard G. Steinbach | 5 | 2221 | 299.71 |