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In this paper, we present a benchmarking study of vision-based grasp synthesis algorithms, each with distinct approaches, and provide a comparative analysis of their performance under different experimental conditions. In particular, we compare two m
Externí odkaz:
http://arxiv.org/abs/2307.11622
