Abstract
As the bin-picking problem is a very famous problem in robotics research, many researchers have already been focusing their studies on it. Therefore, this chapter gives a brief summary of the history of bin-picking. Starting from the very first approaches on visual scene analysis by Roberts, many approaches in the context of object pose estimation are summarized, ending in the description of modern bin-picking approaches. The chapter is closed by reasoning the need of further research on the topic and a short summary of the book.
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Notes
- 1.
The Photometric Stereo method as well as Extended Gaussian Images will be topic of the following chapters.
- 2.
Within this work, it is assumed that only one type of objects is in the bin. Otherwise, an object detection step has to be executed additionally.
- 3.
Within this work, it is assumed that the robot is calibrated relative to the world coordinate system. Furthermore, it is assumed that the vision sensor is calibrated to the same coordinate system.
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© 2016 Springer International Publishing Switzerland
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Buchholz, D. (2016). Bin-Picking—5 Decades of Research. In: Bin-Picking. Studies in Systems, Decision and Control, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-319-26500-1_2
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DOI: https://doi.org/10.1007/978-3-319-26500-1_2
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26498-1
Online ISBN: 978-3-319-26500-1
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