Prefrontal Cortex Motivated Cognitive Architecture for Multiple Robots
Amit Kumar Mishra, Abhishek Kumar, Dipankar Deb

TL;DR
This paper presents a brain-inspired cognitive architecture for robots, emphasizing hierarchical perception-action cycles and decision-making, demonstrated through multiple robots called CIRBA to enhance robotic cognition.
Contribution
Introduces a novel cerebral cortex inspired architecture for multi-robot systems, mapping human brain hierarchy to robotic perception and decision processes.
Findings
Effective implementation of the architecture in multiple robots
Enhanced cognitive capabilities in CIRBA robots
Validation of hierarchical cortical models in robotic cognition
Abstract
In this paper, we introduce a cerebral cortex inspired architecture for robots in which we have mapped hierarchical cortical representation of human brain to logic flow and decision making process. Our work focuses on the two major features of human cognitive process, viz. the perception action cycle and its hierarchical organization, and the decision making process. To prove the effectiveness of our proposed method, we incorporated this architecture in our robot which we named as Cognitive Insect Robot inspired by Brain Architecture (CIRBA). We have extended our research to the implementation of this cognitive architecture of CIRBA in multiple robots and have analyzed the level of cognition attained by them
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Taxonomy
TopicsAI-based Problem Solving and Planning · Cognitive Science and Mapping · Robotics and Automated Systems
