Learning-Adaptive Deadband Sampling for Teleoperation-based Skill Transfer over the Tactile Internet

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...