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The Robot Capable of Understanding Human-Like Instructions
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Today, programming depends on explicit specification of coordinates, motion commands and process parameters.
The programming effort is tremendous and drastically increases the life-cycle costs for a typical workcell.
In the absence of highly skilled robotic programmers, relatively easy tasks take an average of 40 hours of
programming for the average SME - but programming should be as simple as telling a colleague to perform a
certain task. Therefore, future robot instruction schemes require the use of intuitive, multimodal
interfaces and preferably human communication channels, such as speech and gestures. Identification
and localization of work pieces, automatic generation or adaptation of programs and process parameters
are also required for minimizing programming efforts.
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Shop-floor-suitable Devices for intuitive Robot Interaction
The robot should understand human modes of communication and interaction, such as speech and gestures, and should permit the operator to stay as close as possible to the work area. Mass-market hand-held input devices are highly desirable for user interaction. These devices are extremely low in cost and easy to use because users are familiar with them. Several technologies are available presently to provide wireless communication and networking with very good performance and connectivity.
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Intuitive Task and Motion Definition without Explicit Programming
Based on the combination of devices and basic methods, there is a need for intuitive instruction paradigms utilizing natural instruction modes. Many paradigms - such as "programming by demonstration" (PbD) - exist but have never been integrated on the shop-floor. The project partners have the ability and power to solve the main challenges that have not been addressed so far: dependability and efficiency of the user-machine dialogues in an industrial context.
A style guide will be conceived that consistently describes control schemes/programming methods that renounce the utilization of a conventional teach pendant. It will provide guidelines for anyone developing interfaces for industrial robots as how to design multi-modal interfaces based on voice, gesture or manual guidance for natural and intuitive human-robot interaction.
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