Prefrontal Cortex Motivated Cognitive Architecture for Multiple Robots
This work addresses the challenge of improving cognitive capabilities in multiple robots, but it appears incremental as it builds on existing brain-inspired approaches without specifying broad advancements.
The paper tackles the problem of enabling multiple robots to achieve human-like cognition by introducing a cerebral cortex-inspired architecture that maps hierarchical cortical representation to logic flow and decision-making, focusing on the perception-action cycle and hierarchical organization, with results analyzed in terms of the level of cognition attained by the robots.
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