Abstract
The chapter discusses recent research achievements related to sensing issues and interfacing techniques to enable safe interaction of commercial-grade robot manipulators with objects exhibiting rigid or soft surfaces. The main challenges are described, including the identification of proper combinations of vision and touch sensor technologies, and their placement and trajectory with respect to the objects of interest to enable safe navigation and close interaction. Various selective data acquisition procedures are also examined to ensure fast and sufficient monitoring of the interaction behaviour of the object under forces imposed by a robotic manipulator or a multi-finger gripper. Issues related to sensor calibration and data fusion are detailed. Potential solutions are presented in the context of various interaction tasks, including adaptive surface and contour following, object characteristics identification, and dexterous robot hand manipulation of soft objects using the Barrett hand. Numerous experiments demonstrate the validity of the proposed solutions.
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Acknowledgements
The authors wish to acknowledge the contribution of numerous graduate students and collaborators to the research projects summarized in this chapter, and more specifically: A. Chavez-Aragon, F. Hui, A. Huot, F.F. Khalil, P. Laferrière, R. Macknojia, D. Nakhaeinia, E.M. Petriu, B. Tawbe, and R. Toledo. This research has been supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Ontario Innovation Trust (OIT), the Ontario Centres of Excellence (OCE), and the Fonds de recherche du Québec - Nature et Technologies (FRQNT).
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Cretu, AM., Payeur, P. (2017). Harnessing Vision and Touch for Compliant Robotic Interaction with Soft or Rigid Objects. In: George, B., Roy, J., Kumar, V., Mukhopadhyay, S. (eds) Advanced Interfacing Techniques for Sensors . Smart Sensors, Measurement and Instrumentation, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-55369-6_9
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DOI: https://doi.org/10.1007/978-3-319-55369-6_9
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