SITUATION ASSESSMENT THROUGH MULTI-MODAL SENSING OF DYNAMIC ENVIRONMENTS TO SUPPORT COGNITIVE ROBOT CONTROL

Atta Badii, Ali Khan, Rajkumar Raval, Hamid Oudi, Ricardo Ayora, Wasiq Khan, Amine Jaidi, Nagarajan Viswanathan

DOI Number
-
First page
251
Last page
260

Abstract


Awareness of emerging situations in a dynamic operational environment of a robotic assistive device is an essential capability of such a cognitive system, based on its effective and efficient assessment of the prevailing situation. This allows the system to interact with the environment in a sensible (semi)autonomous / pro-active manner without the need for frequent interventions from a supervisor.  In this paper, we report a novel generic Situation Assessment Architecture for robotic systems directly assisting humans as developed in the CORBYS project. This paper presents the overall architecture for situation assessment and its application in proof-of-concept Demonstrators as developed and validated within the CORBYS project. These include a robotic human follower and a mobile gait rehabilitation robotic system. We present an overview of the structure and functionality of the Situation Assessment Architecture for robotic systems with results and observations as collected from initial validation on the two CORBYS Demonstrators.

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References


M. Endsley, 2000, Theoretical underpinnings of Situation Awareness: a critical review, Situation Awareness Analysis and Measurement, Mahwah, NJ.

Blasch, E & S. Plano, 2002, JDL Level 5 fusion model: user refinement issues and applications in group tracking, SPIE Vol. 4729, Aerosense, pp. 270 – 279.

Wahde, M., 2009, A general-purpose method for decision-making in autonomous robots. IEA/AIE, Vol. 5579 of Lecture Notes in Computer Science.

Ye, J., Dobson, S., McKeever, S., 2011, Situation identification techniques in pervasive computing, Pervasive & Mobile computing.

Boytsov, A. & Zaslavsky, A., 2011, From Sensory Data to Situation Awareness – Enhanced Context Spaces Theory Approach. 9th IEEE Int. Conf. Dependable, Autonomic and Secure Computing.

Zhang, M. & Sawchuk, A.A., 2011, A Feature Selection-Based Frame-work for Human Activity Recognition Using Wearable Multimodal Sensors, Proc. Int. Conf. Body Area Networks, Beijing.

Vaughan, C.L., Davis, B.L., O’Connor, J.C., 1992, Dynamics of Human Gait , 2nd ed., Kiboho Publishers South Africa.

Shafer, G., 1976, A Mathematical Theory of Evidence, Princeton University Press.

Dempster, A. P., 1967, Upper and lower probabilities induced by a multivalued mapping, The Annals of Mathematical Statistics 38 (2), pp. 325–339.

CORBYS project, 2014. CORBYS. [online] Available at: http://www.corbys.eu (accessed 10. Nov. 2014).


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ISSN: 0354-2025 (Print)

ISSN: 2335-0164 (Online)

COBISS.SR-ID 98732551

ZDB-ID: 2766459-4