Abstract
This paper describes how industrial applications were targeted and successfully implemented by robotic manipulators that have been developed from studies in embodied artificial intelligent systems. The goal was to design mobile, flexible and self-learning manipulators that allow to perform multiple tasks with very short preparation time, a reasonable working speed and, at the same time, in a human-like manner. The advantages and disadvantages of these solutions compared to traditional industrial robot applications had to be considered continuously to concentrate on the right market segments, applications and customers. Thus, in addition to develop the appropriate requirements of real-time executions, risk analyses and usability, studies were established and implemented in collaboration with scientists, integrators and end customers. Acceptance, impacts of the revolution in personal intelligent robotics as well as challenges to overcome in the future are discussed.
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Früh, H., Keller, P., Perucchi, T. (2007). Intelligent Mobile Manipulators in Industrial Applications:Experiences and Challenges. In: Lungarella, M., Iida, F., Bongard, J., Pfeifer, R. (eds) 50 Years of Artificial Intelligence. Lecture Notes in Computer Science(), vol 4850. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77296-5_33
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DOI: https://doi.org/10.1007/978-3-540-77296-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77295-8
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