Proactive Assistance in Ecologies of Physically Embedded Intelligent Systems

Author:

Cirillo Marcello1,Pecora Federico1,Saffiotti Alessandro1

Affiliation:

1. Örebro University, Sweden

Abstract

The main goal of this Chapter is to introduce SAM, an integrated architecture for concurrent activity recognition, planning and execution. SAM provides a general framework to define how an intelligent environment can assess contextual information from sensory data. The architecture builds upon a temporal reasoning framework operating in closed-loop between physical sensing and actuation components in a smart environments. The capabilities of the system as well as possible examples of its use are discussed in the context of the PEIS-Home, a smart environment integrated with robotic components.

Publisher

IGI Global

Reference36 articles.

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3. Broxvall, M. (2007). A Middleware for Ecologies of Robotic Devices. Proc. of the First Int. Conf. on Robot Communication and Coordination (ROBOCOMM). Athens, Greece.

4. Broxvall, M., Coradeschi, S., Loutfi, A., & Saffiotti, A. (2006). An Ecological Approach to Odour Recognition in Intelligent Environments. Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA). Orlando, FL.

5. Cesta, A., Cortellessa, G., Pecora, F., & Rasconi, R. (2007). Supporting Interaction in the RoboCare Intelligent Assistive Environment. Proc. of AAAI Spring Symposium on Interaction Challenges for Intelligent Assistants.

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1. Using Fuzzy Logic to Enhance Classification of Human Motion Primitives;Information Processing and Management of Uncertainty in Knowledge-Based Systems;2014

2. Human-aware planning for robots embedded in ambient ecologies;Pervasive and Mobile Computing;2012-08

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