Crossing boundaries: Multi-level introspection in a complex robotic architecture for automatic performance improvements

Proceedings of the National Conference on Artificial Intelligence

Volumn 1, Issue , 2012, Pages 214-220

  Krause, Evan ^a   Schermerhorn, Paul ^b   Scheutz, Matthias ^a  

^a TUFTS UNIVERSITY   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGENT ARCHITECTURES; AGENT PERFORMANCE; AGENT SYSTEMS; AUTOMATIC ADJUSTMENT; COMPONENT LEVELS; MULTIPLE LEVELS; PERFORMANCE IMPROVEMENTS; RESOURCE CONSUMPTION; ROBOTIC ARCHITECTURES; TASK PERFORMANCE; VISION SYSTEMS;

ARCHITECTURE; COMPUTER VISION;

ARTIFICIAL INTELLIGENCE;

EID: 84868271783     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Anderson, M. L., and Perlis, D. R. 2005. Logic, self-awareness and self-improvement: The metacognitive loop and the problem of brittleness. Journal of Logic and Computation 15(1):21-40.
2. Crowley, J. L.; Hall, D.; and Emonet, R. 2007. Autonomic computer vision systems. In 2007 International Conference on Computer Vision Systems, ICVS'07. Springer Verlag.
3. Edwards, G.; Garcia, J.; Tajalli, H.; Popescu, D.; Medvidovic, N.; Gaurav, S.; and Petrus, B. 2009. Architecture-driven self-adaptation and self-management in robotics systems. In Proceedings of the 2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, 142-151. Washington, DC, USA: IEEE Computer Society.
4. Georgas, J. C., and Taylor, R. N. 2008. Policy-based self-adaptive architectures: a feasibility study in the robotics domain. In Proceedings of the 2008 international workshop on Software engineering for adaptive and self-managing systems, SEAMS '08, 105-112. New York, NY, USA: ACM.
5. Haidarian, H.; Dinalankara, W.; Fults, S.; Wilson, S.; Perlis, D.; Schmill, M.; Oates, T.; Josyula, D.; and Anderson, M. 2010. The metacognitive loop: An architecture for building robust intelligent systems. In PAAAI Fall Symposium on Commonsense Knowledge (AAAI/CSK'10).
6. Morris, A. C. 2007. Robotic Introspection for Exploration and Mapping of Subterranean Environments. Ph.D. Dissertation, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA.
7. Perez-Palacin, D., and Merseguer, J. 2011. Performance sensitive self-adaptive service-oriented software using hidden markov models. In Proceedings of the second joint WOSP/SIPEW international conference on Performance engineering, ICPE '11, 201-206. New York, NY, USA: ACM.
8. Schermerhorn, P., and Scheutz, M. 2010. Using logic to handle conflicts between system, component, and infrastructure goals in complex robotic architectures. In Proceedings of the 2010 International Conference on Robotics and Automation.
9. Scheutz, M.; Schermerhorn, P.; Kramer, J.; and Anderson, D. 2007. First steps toward natural human-like HRI. Autonomous Robots 22(4):411-423.
10. Scheutz, M. 2006. ADE - steps towards a distributed development and runtime environment for complex robotic agent architectures. Applied Artificial Intelligence 20(4-5):275-304.
11. Sykes, D.; Heaven, W.; Magee, J.; and Kramer, J. 2008. From goals to components: a combined approach to self-management. In Proceedings of the 2008 international workshop on Software engineering for adaptive and self-managing systems, SEAMS '08, 1-8. New York, NY, USA: ACM.