Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks
نویسندگان
چکیده
منابع مشابه
Visual object-action recognition: Inferring object affordances from human demonstration
This paper investigates object categorization according to function, i.e., learning the affordances of objects from human demonstration. Object affordances (functionality) are inferred from observations of humans using the objects in different types of actions. The intended application is learning from demonstration, in which a robot learns to employ objects in household tasks, from observing a...
متن کاملLearning the semantics of object-action relations by observation
Recognizing manipulations performed by a human and the transfer and execution of this by a robot is a difficult problem. We address this in the current study by introducing a novel representation of the relations between objects at decisive time points during a manipulation. Thereby, we encode the essential changes in a visual scenery in a condensed way such that a robot can recognize and learn...
متن کاملIntention Learning From Human Demonstration
Equipped with better sensing and learning capabilities, robots nowadays are meant to perform versatile tasks. To remove the load of detailed analysis and programming from the engineer, a concept has been proposed that the robot may learn how to execute the task from human demonstration by itself. Following the idea, in this paper, we propose an approach for the robot to learn the intention of t...
متن کاملDevelopmental object learning through manipulation and human demonstration
Objectives: We present a cognitive developmental approach for a humanoid robot exploring its close environment in an interactive scenario, taking inspiration from the way infants learn about objects [1]. The proposed approach allows to detect physical entities in the visual space, to create multi-view appearance models of these entities and to categorize them into robot parts, human parts and m...
متن کاملLearning Assembly Tasks from Human Demonstration
ii Abstract (in Finnish) iiiin Finnish) iii
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Robotics and Automation Letters
سال: 2020
ISSN: 2377-3766,2377-3774
DOI: 10.1109/lra.2019.2949221