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EN
In this paper, we propose a system for natural and intuitive interaction with the robot. Its purpose is to allow a person with no specialized knowledge or training in robot programming to program a robotic arm. We utilize data from the RGB-D camera to segment the scene and detect objects. We also estimate the configuration of the operator’s hand and the position of the visual marker to determine the intentions of the operator and the actions of the robot. To this end, we utilize trained neural networks and operations on the input point clouds. Also, voice commands are used to define or trigger the execution of the motion. Finally, we performed a set of experiments to show the properties of the proposed system.
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Content available Human - machine interface for presentation robot
EN
The purpose of mobile presentation robot is to interact with the users providing the required information. This paper presents the approach used in the highest software layer of autonomous mobile robot Advee used commercially for presentation purposes. The requirements for the layer are discussed together with available means of the robot. The particular building blocks and overall structure of the module are shown and key features are described in detail together with the behavior definition. Given module serves successfully when exploited to variable environment represented by people with computer literacy of great variation as proved during module verification tests.
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