Cognitive Robotics - Perception and Action Integration: Examining cognitive robotics systems integrating perception and action capabilities to achieve intelligent behavior in robots

Authors

  • Dr. Juan Gómez-Olmos Associate Professor of Computer Science, University of Jaén, Spain Author

Keywords:

Cognitive robotics, perception, action

Abstract

Cognitive robotics aims to imbue robots with human-like cognitive abilities, enabling them to perceive, reason, and act intelligently in complex environments. One key aspect of cognitive robotics is the integration of perception and action capabilities, allowing robots to seamlessly perceive their surroundings and act accordingly. This paper provides a comprehensive overview of cognitive robotics systems that integrate perception and action, highlighting their design principles, challenges, and applications. We discuss various perception mechanisms, such as sensor fusion and environment modeling, and how they are integrated with action planning and execution. Additionally, we explore the role of artificial intelligence (AI) techniques, such as machine learning and planning algorithms, in enhancing the perception-action integration in cognitive robots. The paper concludes with a discussion on future research directions and the potential impact of perception-action integration on the field of robotics.

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References

Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.

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Published

14-05-2024

How to Cite

[1]
Dr. Juan Gómez-Olmos, “Cognitive Robotics - Perception and Action Integration: Examining cognitive robotics systems integrating perception and action capabilities to achieve intelligent behavior in robots”, Distrib Learn Broad Appl Sci Res, vol. 10, pp. 17–26, May 2024, Accessed: Dec. 22, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/26

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