About this Research Topic
Creating devices which can operate in environment unapproachable or dangerous for human beings is a principal subject of autonomous robotics.
Such units can take over control at a request of a system operator or can operate completely autonomously.
The design problems are not only in their physical construction, but also in their algorithms of behavior.
The necessary adaptation features can be based on various AI ideas inspired by the nature.
An especially interesting approach consists in utilizing models of psychology and cognition of living creatures (including motivations, needs, emotions, mood, etc.), as well as various methods of decision making, to cope with the issue of adaptation to the environment and/or communicating with it.
Within the theme of Cognitive Robotics a variety of topics can be located:
* Modeling of cognitive processes for robotics applications (Cognitive robotics).
* The use of cognitive (in a broad sense) approaches and functions in applications designed for intelligent robots, as well as for solving problems of HSI and HMI.
* Using a team of robots acting toward achieving a common goal (Collective robotics).
* Design and implementation of artificial-intelligence systems aimed at managing or controlling autonomous robots or bots or agents (Intelligent systems: agents and robots).
* Design of walking systems, mechanical humanoids, as well as systems to receive and process information from the environment for the purpose of controlling the robot (Humanoid robots).
* The use of artificial intelligence in robotics, in household appliances and to support people with disabilities (Applications of AI).
* Designing knowledge management systems in order to better understand the elements of the environment the robot (Knowledge engineering in robotics).
* Learning and self-improving systems, which obtain and integrate new knowledge from their environment (Machine learning).
* Intelligent systems based on computational methods and used in stand-alone applications of autonomous and robotic systems (Computational and machine intelligence).
* Systems and applications to the advanced (not just verbal) communication between man and machine (HMI, Human-robot interaction).
* Study of various physical, biological, cognitive and social systems of a regulatory nature, which may have potential use in the engineering of intelligent systems (Cybernetics).
* Modeling and design of systems aimed at developing artificial 'consciousness' (Artificial consciousness).
Such units can take over control at a request of a system operator or can operate completely autonomously.
The design problems are not only in their physical construction, but also in their algorithms of behavior.
The necessary adaptation features can be based on various AI ideas inspired by the nature.
An especially interesting approach consists in utilizing models of psychology and cognition of living creatures (including motivations, needs, emotions, mood, etc.), as well as various methods of decision making, to cope with the issue of adaptation to the environment and/or communicating with it.
Within the theme of Cognitive Robotics a variety of topics can be located:
* Modeling of cognitive processes for robotics applications (Cognitive robotics).
* The use of cognitive (in a broad sense) approaches and functions in applications designed for intelligent robots, as well as for solving problems of HSI and HMI.
* Using a team of robots acting toward achieving a common goal (Collective robotics).
* Design and implementation of artificial-intelligence systems aimed at managing or controlling autonomous robots or bots or agents (Intelligent systems: agents and robots).
* Design of walking systems, mechanical humanoids, as well as systems to receive and process information from the environment for the purpose of controlling the robot (Humanoid robots).
* The use of artificial intelligence in robotics, in household appliances and to support people with disabilities (Applications of AI).
* Designing knowledge management systems in order to better understand the elements of the environment the robot (Knowledge engineering in robotics).
* Learning and self-improving systems, which obtain and integrate new knowledge from their environment (Machine learning).
* Intelligent systems based on computational methods and used in stand-alone applications of autonomous and robotic systems (Computational and machine intelligence).
* Systems and applications to the advanced (not just verbal) communication between man and machine (HMI, Human-robot interaction).
* Study of various physical, biological, cognitive and social systems of a regulatory nature, which may have potential use in the engineering of intelligent systems (Cybernetics).
* Modeling and design of systems aimed at developing artificial 'consciousness' (Artificial consciousness).
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