Natural and efficient communication with humans requires artificial agents that are able to understand the meaning of natural language. However, understanding natural language is non-trivial and requires proper grounding mechanisms to create links …
Robots that incorporate social norms in their behaviors are seen as more supportive, friendly,and understanding. Since it is impossible to manually specify the most appropriate behavior for all possible situations, robots need to be able to learn it …
Allowing humans to communicate through natural language with robots requires connections between words and percepts. The process of creating these connections is called symbol grounding and has been studied for nearly three decades. Although many …
To enable natural human-robot collaboration robots need to understand natural language, which in turn requires mechanisms to ground language by connecting words to corresponding percepts. This paper, presents an unsupervised online grounding …
In this paper, a grounding framework is proposed that combines unsupervised and supervised grounding by extending an unsupervised grounding model with a mechanism to learn from explicit human teaching. To investigate whether explicit teaching …
Natural human-robot interaction requires robots to link words to objects and actions through grounding. Although grounding has been investigated in previous studies, not many considered grounding of synonyms and the majority of employed models only …
Natural human-robot interaction requires robots to learn new tasks autonomously and link the learned actions to their corresponding words through grounding. Previous studies focused only on action learning or grounding, but not both. In this paper, …
In order to interact with people in a natural way, a robot must be able to link words to objects and actions. Although previous studies in the literature have investigated grounding, they did not consider grounding of unknown synonyms. In this paper, …