Several authors have reported works using mobile agents. Embedded cognitive robotics focuses on understanding and modelling perception, cognition and action in artificial agents through bodily interactions with the environment to be able to perform cognitive tasks autonomously.
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These are software components that can carry out functions autonomously on behalf of another entity to realize tasks and can migrate from one robot to another through Wi-Fi networks. Mobile agents are the principal means of embedding cognitive processing capabilities in robotic systems. The main challenge is a lack of adequate knowledge of the human brain at different stages of development to enable adequate modelling. In cognitive robotics, an integrated view is taken of the robots, their motor, perceptual subsystems and the body’s interaction with the environment. The field of developmental robotics and evolutionary robotics has also emerged to deal with how robots learn. Examples include learning sensorimotor skills (locomotion, grasping and object manipulation) or interactive skills (manipulation of an object in collaboration with a human being). Robot learning refers to the robot learning about itself and the effect of its motor commands and action. To embed systems with more sense of intelligence, collaborations between AI, machine learning and robotics communities are essential to achieve remarkable progress. Enabling more autonomous object manipulation with some level of eye-hand coordination and high precision in a complex environment is a challenge. The autonomy of such robots is fully oriented towards navigation in human environments and/or human-robot interactions. Service robots are specialized robots, which operate either semi or fully automatically to perform services useful to humans (excluding manufacturing operations), such as caring for the elderly and rehabilitation. Typical applications where cognitive capabilities are important in manufacturing are pick and placement, machine inspection, and collaboration and assistance. Behaviours are based on modelling biological systems, optimal control theory (engineering), neurosciences, and other behavioural sciences.
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These are problem-solving, intentional (planning), reactive, learning, understanding and explaining behaviours.
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Cognitive robotics aim at endowing robots with intelligent behaviour by providing processing architecture that allows them to interact with the environment, learn, understand and reason about the environment, and behave like humans in response to complex world dynamics.