A development of the perception framework to make the robots conscious with the aid of perception sensor network

In everyday lives, so many events happen around us. Although not all of them are important to us, we have to process them all to be able to isolate the significant events. Consciousness is a constant awareness of the environment, which can be acquired only by such an exhaustive approach. As an autonomous agent, a robot is also required to be conscious, which is not yet properly realized. In this paper, we discuss the strategy to organize various perception technologies to achieve the consciousness of the robots. Especially, an independent process that constantly monitors its surroundings without the intervention of higher processes is proposed. This process, which is called a perception daemon, is discriminated from the traditional component-based approach, where individual perception technology is provided as a passive function so that the service applications should call whenever it is necessary.

[1]  Ho-Sub Yoon,et al.  A Non-Cooperative User Authentication System in Robot Environments , 2007, IEEE Transactions on Consumer Electronics.

[2]  Ho-Sub Yoon,et al.  Vision-based arm gesture recognition for a long-range human–robot interaction , 2010, The Journal of Supercomputing.

[3]  Jean Rouat,et al.  Robust sound source localization using a microphone array on a mobile robot , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[4]  Jaeyeon Lee,et al.  Disguised-Face Discriminator for Embedded Systems , 2010 .

[5]  Jaeyeon Lee,et al.  Tiny Frontal Face Detection for Robots , 2010, 2010 3rd International Conference on Human-Centric Computing.

[6]  Kyu-Dae Ban,et al.  Tiny and Blurred Face Alignment for Long Distance Face Recognition , 2011 .

[7]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[8]  Fariba Sadri,et al.  Ambient intelligence: A survey , 2011, CSUR.

[9]  Diane J. Cook,et al.  Author's Personal Copy Pervasive and Mobile Computing Ambient Intelligence: Technologies, Applications, and Opportunities , 2022 .

[10]  Jörg Stückler,et al.  Towards joint attention for a domestic service robot - person awareness and gesture recognition using Time-of-Flight cameras , 2011, 2011 IEEE International Conference on Robotics and Automation.