谷歌RT-1:模型用于实际大规模控制的机器人Transformer

Ofweek光电信息网
27 Jun

2022 年 10 月,谷歌 DeepMind 发布 RT-1 模型,其训练数据源自 13 台机器人持续 17 个月采集的超 13 万条任务片段。该研究开创性地将Transformer的应用向前推进 —— 将语言和视觉观测到机器人动作的映射视为一个序列建模问题,并利用Transformer学习这一映射。能否借助多样化的机器人任务数据,训练出统一且强大的多任务骨干模型,使其具备对新任务、操作环境及...

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