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Robotic mapping is a discipline related to computer vision [1] and cartography.The goal for an autonomous robot is to be able to construct (or use) a map (outdoor use) or floor plan (indoor use) and to localize itself and its recharging bases or beacons in it.
Seems pretty adapted to the article. Robopsychology is the study of the personalities and behavior of intelligent machines.The term was coined by Isaac Asimov in the short stories collected in I, Robot, which featured robopsychologist Dr. Susan Calvin, and whose plots largely revolved around the protagonist solving problems connected with intelligent robot behaviour.
Cognitive Robotics or Cognitive Technology is a subfield of robotics concerned with endowing a robot with intelligent behavior by providing it with a processing architecture that will allow it to learn and reason about how to behave in response to complex goals in a complex world.
Cognitive mapping is the implicit, mental mapping the explicit part of the same process. In most cases, a cognitive map exists independently of a mental map, an article covering just cognitive maps would remain limited to theoretical considerations. Mental mapping is typically associated with landmarks, locations, and geography when demonstrated.
Human–robot interaction (HRI) is the study of interactions between humans and robots.Human–robot interaction is a multidisciplinary field with contributions from human–computer interaction, artificial intelligence, robotics, natural language processing, design, psychology and philosophy.
Neurorobotics is the combined study of neuroscience, robotics, and artificial intelligence.It is the science and technology of embodied autonomous neural systems. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural networks, large-scale simulations of neural microcircuits) and actual ...
Soar [1] is a cognitive architecture, [2] originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University.. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agents – agents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of ...
In the Soussignan, et al. 2011 study “Human newborns match tongue protrusion of disembodied human and robotic mouths”, researchers replicate the Meltzoff and Moore position with 2D stimuli. [5] As a result, this research reinforces the intermodal mapping hypothesis, adding that repeated experience and associative sequence learning are ...