Abstract Human–Robot Interaction challenges Artificial Intelligence in many regards:
dynamic, partially unknown environments that were not originally designed for robots; a …

This paper gives an overview of the research papers published in Symbol Grounding in the
period from the beginning of the 21st century up 2012. The focus is in the use of symbol …

It is important for a robot to be able to interpret natural language commands given by a
human. In this paper, we consider performing a sequence of mobile manipulation tasks with …

We present a systematic survey of computational research in humanrobot interaction (HRI)
over the past decade. Computational HRI is the subset of the field that is specifically …

To perform tasks specified by natural language instructions, autonomous agents need to
extract semantically meaningful representations of language and map it to visual elements …

Earlier theorizing suggested that an (artificial) agent that combines persuasive strategies will
be more persuasive. Therefore, the current research investigated whether a robot that uses …

Humans use signs, eg, sentences in a spoken language, for communication and thought.
Hence, symbol systems like language are crucial for our communication with other agents …

Our goal is to develop models that allow a robot to understand natural language instructions
in the context of its world representation. Contemporary models learn possible …

Despite major progress in Robotics and AI, robots are still basically “zombies” repeatedly
achieving actions and tasks without understanding what they are doing. Deep-Learning AI …

Our goal is to develop models that allow a robot to efficiently understand or “ground” natural
language instructions in the context of its world representation. Contemporary approaches …