VP-GO: a 'light' action-conditioned visual prediction model

Autor: Ma, Anji, Fleytoux, Yoann, Mouret, Jean-Bapstiste, Ivaldi, Serena

Visual prediction models are a promising solution for visual-based robotic grasping of cluttered, unknown soft objects. Previous models from the literature are computationally greedy, which limits reproducibility; although some consider stochasticity

Externí odkaz: http://arxiv.org/abs/2109.12694

Learning high-level robotic manipulation actions with visual predictive model.

Autor: Ma, Anji, Chi, Guoyi, Ivaldi, Serena, Chen, Lipeng

Publikováno v: Complex & Intelligent Systems; Feb2024, Vol. 10 Issue 1, p811-823, 13p

VP-GO: A 'Light' Action-Conditioned Visual Prediction Model for Grasping Objects

Autor: Anji Ma, Yoann Fleytoux, Jean-Baptiste Mouret, Serena Ivaldi

Publikováno v: ICARM 2022-IEEE International Conference on Advanced Robotics and Mechatronics
ICARM 2022-IEEE International Conference on Advanced Robotics and Mechatronics, Jul 2022, Guilin, China

International audience; Visual prediction models are promising solutions for visual-based robotic grasping of cluttered, unknown soft objects. Previous models from the literature are computationally greedy, which limits reproducibility; although some

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10b453497b855c6ff04b8d63a691ccef
https://hal.science/hal-03727531