Attaining Operational Survivability in an Autonomous Unmanned Ground Surveillance Vehicle

An architectural framework for the development of autonomous unmanned systems capable of exhibiting persistence and endurance when confronted with unexpected scenarios is presented in this paper. This framework incorporates the concept of survivability as an embodied characteristic of autonomous unmanned systems. This biologically-inspired approach models the operational and survival requirements of an autonomous system as a set of needs which dictates the system's behaviour. It is the capacity of a system to fulfil these needs that contributes to its survival, as is the case with living creatures. Within this context, survivability emerges from the process of determining the behaviour, or sequence of behaviours that maximizes the probability of meeting the system needs. In this paper, we present key aspects of the survivability framework, and results of its application to the design of an autonomous ground surveillance vehicle. The relevance of this application is two-fold, namely to serve as a test-bed for validation of the proposed framework, and to respond to heightened homeland various regions of the world

[1]  Masahiro Fujita,et al.  An ethological and emotional basis for human-robot interaction , 2003, Robotics Auton. Syst..

[2]  J. Knight,et al.  ON THE DEFINITION OF SURVIVABILITY , 2000 .

[3]  Bruce Stone,et al.  Planning for organizational success : a practical guide , 1983 .

[4]  María Malfaz,et al.  A new architecture for autonomous robots based on emotions , 2004 .

[5]  Chinh Nguyen,et al.  Development and testing for physical security robots , 2005, SPIE Defense + Commercial Sensing.

[6]  J. Dean Animats and what they can tell us , 1998, Trends in Cognitive Sciences.

[7]  F. Heylighen A cognitive-systemic reconstruction of Maslow's theory of self-actualization , 1992 .

[8]  Richard Bailey,et al.  Foundations for learning and adaptation in a multi-degree-of-freedom unmanned ground vehicle , 2004, SPIE Defense + Commercial Sensing.

[9]  G. Glover,et al.  Contributions of amygdala and striatal activity in emotion regulation , 2005, Biological Psychiatry.

[10]  Andrew Ortony,et al.  Affect and Proto-Affect in Effective Functioning , 2005, Who Needs Emotions?.

[11]  Robin R. Murphy,et al.  Rescue robotics for homeland security , 2004, CACM.

[12]  Yaniv Hanoch,et al.  Emotions as a mechanism for boundedly rational agents : the fast and frugal way , 2005 .

[13]  Gün R. Semin,et al.  Interfaces of social psychology with situated and embodied cognition , 2002, Cognitive Systems Research.

[14]  Donald A. Norman,et al.  Affect and machine design: Lessons for the development of autonomous machines , 2003, IBM Syst. J..

[15]  Tony Savage,et al.  The grounding of motivation in artificial animals: Indices of motivational behavior , 2003, Cognitive Systems Research.

[16]  J. Panksepp Affective consciousness: Core emotional feelings in animals and humans , 2005, Consciousness and Cognition.

[17]  Robin R. Murphy,et al.  How UGVs physically fail in the field , 2005, IEEE Transactions on Robotics.

[18]  Ronald C. Arkin,et al.  Combining deliberation, reactivity, and motivation in the context of a behavior-based robot architecture , 2001, Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515).

[19]  J. Ibanez-Guzman,et al.  Feature-based perception for autonomous unmanned navigation , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..