Motor affordance for grasping a safety handle
نویسندگان
چکیده
منابع مشابه
Relational Affordance Learning for Task-Dependent Robot Grasping
Robot grasping depends on the specific manipulation scenario: the object, its properties, task and grasp constraints. Object-task affordances facilitate semantic reasoning about pre-grasp configurations with respect to the intended tasks, favouring good grasps. We employ probabilistic rule learning to recover such object-task affordances for task-dependent grasping from realistic video data.
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ژورنال
عنوان ژورنال: Neuroscience Letters
سال: 2018
ISSN: 0304-3940
DOI: 10.1016/j.neulet.2018.05.040