March 14, 2024, 4:46 a.m. | Daniel Fernandes Gomes, Wenxuan Mou, Paolo Paoletti, Shan Luo

cs.CV updates on

arXiv:2403.07877v1 Announce Type: cross
Abstract: End-to-end self-supervised models have been proposed for estimating the success of future candidate grasps and video predictive models for generating future observations. However, none have yet studied these two strategies side-by-side for addressing the aforementioned grasping problem. We investigate and compare a model-free approach, to estimate the success of a candidate grasp, against a model-based alternative that exploits a self-supervised learnt predictive model that generates a future observation of the gripper about to grasp an …

abstract arxiv environments free future grasping however predictive predictive models strategies success type video

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