Dergiler / The Journal of Cognitive Systems / 2020 / Cilt: 5 - Sayı: 2

A COGNITIVE INTEGRATED MULTI-MODAL PERCEPTION MECHANISM AND DYNAMIC WORLD MODELING FOR SOCIAL ROBOT ASSISTANTS

Sayfa
46–50
Yayın Tarihi
2020-12-31
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In the future, it is considered that the framework presented in this study will guide to develop next generation cognitive models for social robots.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In this study, it is investigated that the robots may acquire environmental awareness based on perceptual attention.
📊
Temel Bulgular & Veri:We present a novel solution which covers a cognitive multi-modal integrated perception system.
💡
Sonuç & Katkı:In the future, it is considered that the framework presented in this study will guide to develop next generation cognitive models for social robots.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Cognitive perception · attention modelling · perceptual awareness

Abstract

In this study, it is investigated that the robots may acquire environmental awareness based on perceptual attention. The purpose of this study is to model a human-like perception system architecture for a humanoid robot to establish robust and efficient communication with humans and its environment. The modelling of the robot’s environment and deficiencies in the coordination of multi-modal perceptual stimuli are the main challenges for achieving this purpose. Previous works do not fulfill some of these requirements. We present a novel solution which covers a cognitive multi-modal integrated perception system. The computational framework contains features of basic feature extraction, recognition tasks, and spatial-temporal inference. In addition, it provides to help modelling perceptual attention and awareness. It is convenient that implementation works are carried out on the developed open-source software involving this architecture for social robots. The model’s performance can be evaluated by various interaction scenarios. In the future, it is considered that the framework presented in this study will guide to develop next generation cognitive models for social robots.

🔖

Bu Makaleye Atıf Yap

DAĞLARLI, E. (2020). A COGNITIVE INTEGRATED MULTI-MODAL PERCEPTION MECHANISM AND DYNAMIC WORLD MODELING FOR SOCIAL ROBOT ASSISTANTS. The Journal of Cognitive Systems, Cilt: 5 - Sayı: 2, 46–50. https://ajindex.com/articles/806224

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (14)

  1. Yan, Z., Schreiberhuber, S., Halmetschlager, G., Duckett, T., Vincze, M., & Bellotto, N. (2020). Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber. arXiv preprint arXiv:2002.10158
  2. Freud, E., Behrmann, M., & Snow, J. C. (2020). What Does Dorsal Cortex Contribute to Perception?. Open Mind, 1-18
  3. Bear, M., Connors, B., & Paradiso, M. A. (2020). Neuroscience: Exploring the brain. Jones & Bartlett Learning, LLC
  4. Taylor, A., Chan, D. M., & Riek, L. D. (2020). Robot-centric perception of human groups. ACM Transactions on Human-Robot Interaction (THRI), 9(3), 1-21
  5. Ronchi, M. R. (2020). Vision for Social Robots: Human Perception and Pose Estimation (Doctoral dissertation, California Institute of Technology)
  6. Müller, S., Wengefeld, T., Trinh, T. Q., Aganian, D., Eisenbach, M., & Gross, H. M. (2020). A Multi-Modal Person Perception Framework for Socially Interactive Mobile Service Robots. Sensors, 20(3), 722
  7. Russo, C., Madani, K., & Rinaldi, A. M. (2020). Knowledge Acquisition and Design Using Semantics and Perception: A Case Study for Autonomous Robots. Neural Processing Letters, 1-16
  8. Lee, C. Y., Lee, H., Hwang, I., & Zhang, B. T. (2020, June). Visual Perception Framework for an Intelligent Mobile Robot. In 2020 17th International Conference on Ubiquitous Robots (UR) (pp. 612-616). IEEE
  9. Mazzola, C., Aroyo, A. M., Rea, F., & Sciutti, A. (2020, March). Interacting with a Social Robot Affects Visual Perception of Space. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 549-557)
  10. Mariacarla, B. Special Issue on Behavior Adaptation, Interaction, and Artificial Perception for Assistive Robotics
  11. Sanneman, L., & Shah, J. A. (2020, May). A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI. In International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems (pp. 94-110). Springer, Cham
  12. Kridalukmana, R., Lu, H. Y., & Naderpour, M. (2020). A supportive situation awareness model for human-autonomy teaming in collaborative driving. Theoretical Issues in Ergonomics Science, 1-26
  13. Tropmann-Frick, M., & Clemen, T. (2020). Towards Enhancing of Situational Awareness for Cognitive Software Agents. In Modellierung (Companion) (pp. 178-184)
  14. Inceoglu, A., Koc, C., Kanat, B. O., Ersen, M., & Sariel, S. (2018). Continuous visual world modeling for autonomous robot manipulation. IEEE Transactio