Abstract
This case study demonstrates how to synthesize re-calibration procedures in a relatively easy way using a learning approach. Flexible assembly systems require fast and autonomous re-calibration procedures — and learning approaches offer several appealing advantages. Several aspects which are relevant for industrial assembly are taken into account in the presented experiments: (1) use of real-world objects, in this case a light switch, (2) assembly with an industrial robot and (3) the presence of tolerances.
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© 1999 Springer Science+Business Media New York
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Nuttin, M., Van Brussel, H. (1999). Learning and Re-Calibration in Flexible Assembly. In: Morik, K., Kaiser, M., Klingspor, V. (eds) Making Robots Smarter. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5239-0_4
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DOI: https://doi.org/10.1007/978-1-4615-5239-0_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7388-9
Online ISBN: 978-1-4615-5239-0
eBook Packages: Springer Book Archive