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Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System. (arXiv:2211.07977v1 [cs.RO])
Nov. 16, 2022, 2:15 a.m. | Luca Marchionna, Giulio Pugliese, Mauro Martini, Simone Angarano, Francesco Salvetti, Marcello Chiaberge
cs.CV updates on arXiv.org arxiv.org
The game of Jenga represents an inspiring benchmark for developing innovative
manipulation solutions for complex tasks. Indeed, it encouraged the study of
novel robotics methods to extract blocks from the tower successfully. A Jenga
game round undoubtedly embeds many traits of complex industrial or surgical
manipulation tasks, requiring a multi-step strategy, the combination of visual
and tactile data, and the highly precise motion of the robotic arm to perform a
single block extraction. In this work, we propose a novel …
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