What is a perception action loop?
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The perception-action loop refers to the continuous interaction between an agent's perception of the environment and its corresponding actions. It involves the process of perceiving sensory information from the environment, interpreting and processing that information, and then generating appropriate actions based on the perceived information. The loop is essential for an agent to adapt and respond effectively to its surroundings. The perception-action loop has been studied in various contexts, including automated driving , action-oriented perception in robots , learning-driven behavior in machine learning and neuroscience , and the evolution of sensors in nature . These studies have explored different aspects of the perception-action loop, such as the role of visual exposure and manual control exposure in driving behavior , the use of chaotic attractors and unsupervised learning in action-oriented perception , and the maximization of information flow through the loop for adaptive behavior .
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| Papers (5) | Insight |
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12 Citations | The paper does not explicitly define a "perception-action loop." |
75 Citations | The paper defines the perception-action loop as the interaction between sensors and actuators in living agents, modeling the relations between variables at different time steps. |
103 Citations | The provided paper does not explicitly define a "perception-action loop." |
15 Citations | The paper does not explicitly define a "perception-action loop." |
13 Citations | The paper does not explicitly define the term "perception-action loop." |
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