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 …

Anchoring is the problem of connecting, inside an artificial system, symbols and sensor data
that refer to the same physical objects in the external world. This problem needs to be solved …

The symbol grounding problem, described recently by Harnad, states that the symbols which
a traditional AI system manipulates are meaningless to the system, the system thus being …

A prominent robotics professor surprised me at last year's RSJ conference:" There isn't really
a symbol grounding problem for robotics, is there? I often ask people,'Is symbol grounding a …

Anchoring is the process of creating and maintaining the correspondence between symbols
and percepts that refer to the same physical objects. Although this process must necessarily …

This article is the second step in our research into the Symbol Grounding Problem (SGP). In
a previous work, we defined the main condition that must be satisfied by any strategy in …

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 …

During the last years there has been an increasing interest in the area of service robots.
Under this category we find robots working in tasks such as elderly care, guiding, office and …

Perceptual anchoring is the problem of creating and maintaining in time the connection
between symbols and sensor data that refer to the same physical objects. This is one of the …

Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two
hitherto distinct approaches.” Neuro” refers to the artificial neural networks prominent in …