Teleoperation is omnipresent in our world – basically everything that is controlled remotely is teleoperation. One application of teleoperation is remotely controlling quadrotor drones, which are gaining more and more popularity in all sectors and are the perfect match for being integrated into the Internet of Things (IoT). Haptic devices allow multi-dimensional input and provide touch sensation as an addition to the conventional visual feedback. Projects already exist that research the combination of all three, the teleoperation of quadrotor drones using haptic devices as input over Wireless Local Area Networks (WLANs) or Wireless Wide Area Networks (WWANs). However, few platforms exist that provide the big picture, or in other words combine all aspects such as control, networking, encoding and compression of haptic data, into one implementation that can in turn be used for testing and evaluation. Also some ways on how to control a drone with haptic devices remain unexplored. This thesis provides the first iteration of a demonstrator implementation that aims to contribute to the beforementioned problems, and documents the concepts and implementation itself so that it can be used and extended in future research projects.
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