Abstract
This chapter presents the hardware, software and overall strategy used by the team UNIPI-IIT-QB to participate to the Robotic Grasping and Manipulation Competition. It relies on the PISA/IIT SoftHand, which is underactuated soft robotic hand that can adapt to the grasped object shape and is compliant with the environment. It was used for the hand-in-hand and for the simulation tracks, where the team reached first and third places respectively.
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Acknowledgements
This research has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 645599 (SOMA).
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Bonilla, M. et al. (2018). Advanced Grasping with the Pisa/IIT SoftHand. In: Sun, Y., Falco, J. (eds) Robotic Grasping and Manipulation. RGMC 2016. Communications in Computer and Information Science, vol 816. Springer, Cham. https://doi.org/10.1007/978-3-319-94568-2_2
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DOI: https://doi.org/10.1007/978-3-319-94568-2_2
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