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Vol. 251, Issue 4, April 2021, pp. 28-36




Cognitive and Learning-based Control: Applications in Robotics


Algoma University, 1520 Queen St E, Sault Ste. Marie, ON P6A 2G4, Canada
Tel.: 705-949-2301, ext. 4270

E-mail: bin.wei@algomau.ca


Received: 25 February 2021 /Accepted: 5 April 2021 /Published: 30 April 2021

Digital Sensors and Sensor Sysstems


Abstract: In control arena, one of the most important issues is to effectively control the robot motion and force and in the meantime, the robots must safely respond to contact forces while interacting with people. Another issue is that how to handle uncertainties that are occurred during the process of interacting with environment. Human beings can control ourselves’ motions (e.g. control arms to move, legs to move, whole body to move) perfectly. This partly attributes to the fact that human control system is based on millions of neurons that are receiving and sending signals to each other, and partly attributes to the fact that this control is formed by our initial learning. This paper reviews the most recent development on the brain and cognitive intelligence based control used in robotics. Some future research recommendations are proposed. It is concluded that the final goal is how to combine neuroscience, AI, and robotics so that we can make robots have more human-like performances.


Keywords: Adaptive control, Cognitive intelligence, Learning control, Robotics, Human-robot interaction.


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