Cognitive robotics: Difference between revisions

Revision as of 05:46, 2 August 2025

Revision as of 05:47, 2 August 2025

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==Core issues==

While traditional [[cognitive model]]ing approaches have assumed symbolic coding schemes as a means for depicting the world, translating the world into these kinds of symbolic representations has proven to be problematic if not untenable. [[philosophy of perception|Perception]] and [[motor cognition|action]] and the notion of [[Mental representation|symbolic representation]] are therefore core issues to be addressed in cognitive robotics.

==Starting point==

Cognitive robotics views human or animal cognition as a starting point for the development of robotic information processing, as opposed to more traditional [[artificial intelligence]] techniques. Target robotic cognitive capabilities include perception processing, attention allocation, [[anticipation (artificial intelligence)|anticipation]], planning, complex motor coordination, reasoning about other agents and perhaps even about their own mental states. Robotic cognition embodies the behavior of [[intelligent agent]]s in the physical world (or a virtual world, in the case of simulated cognitive robotics). Ultimately, the robot must be able to act in the real world.

==Learning techniques==

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{{main|Motor babbling}}

A preliminary robot learning technique called [[motor babbling]] involves correlating pseudo-random complex motor movements by the robot with resulting visual and/or auditory feedback such that the robot may begin to ''expect'' a pattern of sensory feedback given a pattern of motor output. Desired sensory feedback may then be used to inform a motor control signal. This is thought to be analogous to how a baby learns to reach for objects or learns to produce speech sounds. For simpler robot systems, where, for instance, [[inverse kinematics]] may feasibly be used to transform anticipated feedback (desired motor result) into motor output, this step may be skipped.

===Imitation===

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==Questions==

Some of the fundamental questions to still be answered in cognitive robotics are:

Some of the fundamental questions to still be answered in cognitive robotics are:

* How much human programming should or can be involved to support the learning processes?

* How can one quantify progress? Some of the adopted ways is theare reward and punishment. But what kind of reward and what kind of punishment? In humans, when teaching a child, for example, the reward would be candy or some encouragement, and the punishment can take many forms. But what is an effective way with robots?{{Citation needed|date=August 2019|reason=It seems that this passage contains confusion about reinforcement learning, a citation to a source that shows how to use 'reward and punishment' for 'progress quantification' is needed.}}

== Books ==

Cognitive Robotics book <ref>{{Cite web|title = Cognitive Robotics|url = https://www.crcpress.com/Cognitive-Robotics/Samani/9781482244564|website = CRC Press|accessdate = 2015-10-07}}</ref> by Hooman Samani,<ref>{{Cite web|title = Hooman Samani|url = http://www.hoomansamani.com/|website = www.hoomansamani.com|accessdate = 2015-10-07}}</ref> takes a multidisciplinary approach to cover various aspects of cognitive robotics such as artificial intelligence, physical, chemical, philosophical, psychological, social, cultural, and ethical aspects.

==See also==