Abstract
Humanoid robot is appearing as most popular research tool and emerging research field. The greatest challenge in the development of robot is cognition, advancement and the understanding in the human like cognition. Humanoid robot requires a self-learning behavior like the humans that is able to get the experience from environment. Based on experience, it can modify their actions, or having conscious intellectual capability to reduce empirical factual knowledge. In this regard, we propose a novel framework called an Innovative Cognitive Architecture for Humanoid Robot (ICAHR) that is capable to develop cognitive through social interaction and autonomous exploration. It combines the modules of active memory, decision processor, and sensor listener that has capability to perform self-learning behavior like human, to make decisions in dynamic environment, and perform more valid and intelligent actions with better precision. The proposed architecture may result in safe, robust, flexible, and reliable machines that can be substitute of human beings in different tasks. The feasibility of new proposed ICAHR design has been examined through real-world case studies.
Highlights
Cognitive is the mental process of knowing that includes the characteristics such as perception, judgment, reasoning, self-examining, decision making, awareness, imagination, memory and emotion
The results show that the proposed architecture is suitable for the development of Innovative Cognitive Architecture for Humanoid Robot (ICAHR) architecture and performs much better than the existing humanoid robot architectures
This section explains the proposed Innovative Cognitive Architecture for Humanoid Robot (ICAHR) that is capable to work same as human cognition
Summary
Cognitive is the mental process of knowing that includes the characteristics such as perception, judgment, reasoning, self-examining, decision making, awareness, imagination, memory and emotion. Humanoid robotics is a challenging and emergent research area It brings dominant attention in various models about the description of mind and its related phenomena, and play a vital role in 21st century in the field of robotics. The physical appearance and locomotion has resemblance like the human in their reasoning, actions, and communication about the real environment [3], [4]. The development of such kind of robot need vast range of discipline in their integration and coordination research efforts in several fields such as human machine interaction, control theory, artificial intelligence, computational and psychological computational and perception neuroscience [5]–[10]
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