Abstract
The aim of the research is to analyze the possibilities of creating a robot control system allowing automatic replication of manual actions. Functioning of the system would be based on the detection and identification of manipulations and environment changes related to a particular task. For the purpose, 3D machine vision is required in order to monitor people and objects around a robot. Acquired information would be used by an artificial intelligence system for creating relations between manipulation motions and events in a working area. This would allow the automation of a huge range of manual actions by showing the controller how a robot should perform them. In combination with motion path optimization and collision prevention, the presented solution could be an intelligent tool in the human-machine collaboration and machine learning. The article concerns the main concept of the autonomous robot control system, including techniques planned to be applied, and the plan of the research leading to the definition of principles allowing the creation of the system.
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Malaka, J. (2019). Autonomous Robot Control System for Automation of Manipulations. In: Świder, J., Kciuk, S., Trojnacki, M. (eds) Mechatronics 2017 - Ideas for Industrial Applications. MECHATRONICS 2017. Advances in Intelligent Systems and Computing, vol 934. Springer, Cham. https://doi.org/10.1007/978-3-030-15857-6_30
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DOI: https://doi.org/10.1007/978-3-030-15857-6_30
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