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Brugarolas, R., Roberts, D., Sherman, B., Bozkurt, A..  2013.  Machine Learning Based Posture Estimation for a Wireless Canine Machine Interface. on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS),.
Venkatesh Saligrama, David Starobinski.  2006.  On the macroscopic effects of local interactions in multi-hop wireless networks. 4th International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt 2006), 3-6 April 2006, Boston, Massachusetts, {USA}. :161–168.
Gallagher, John C., Humphrey, Laura R., Matson, Eric.  2014.  Maintaining Model Consistency during In-Flight Adaptation in a Flapping-Wing Micro Air Vehicle. Robot Intelligence Technology and Applications 2: Results from the 2nd International Conference on Robot Intelligence Technology and Applications. :517–530.

Machine-learning and soft computation methods are often used to adapt and modify control systems for robotic, aerospace, and other electromechanical systems. Most often, those who use such methods of self-adaptation focus on issues related to efficacy of the solutions produced and efficiency of the computational methods harnessed to create them. Considered far less often are the effects self-adaptation on Verification and Validation (V{&}V) of the systems in which they are used. Simply observing that a broken robotic or aerospace system seems to have been repaired is often not enough. Since self-adaptation can severely distort the relationships among system components, many V{&}V methods can quickly become useless. This paper will focus on a method by which one can interleave machine-learning and model consistency checks to not only improve system performance, but also to identify how those improvements modify the relationship between the system and its underlying model. Armed with such knowledge, it becomes possible to update the underlying model to maintain consistency between the real and modeled systems. We will focus on a specific application of this idea to maintaining model consistency for a simulated Flapping-Wing Micro Air Vehicle that uses machine learning to compensate for wing damage incurred while in flight. We will demonstrate that our method can detect the nature of the wing damage and update the underlying vehicle model to better reflect the operation of the system after learning. The paper will conclude with a discussion of potential future applications, including generalizing the technique to other vehicles and automating the generation of model consistency-testing hypotheses.

Bogdan, Paul, Pajic, Miroslav, Pande, Partha Pratim, Raghunathan, Vijay.  2016.  Making the Internet-of-things a Reality: From Smart Models, Sensing and Actuation to Energy-efficient Architectures. Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis. :25:1–25:10.
Tolga Bolukbasi, Kai{-}Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai.  2016.  Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. :4349–4357.
Sheckman, Samuel, Kim, Hoyeon, Manzoor, Sheryl, Rogowski, Louis W, Huang, Li, Zhang, Xiao, Becker, Aaron T, Kim, Min Jun.  2017.  Manipulation and control of microrobots using a novel permanent magnet stage. Ubiquitous Robots and Ambient Intelligence (URAI), 2017 14th International Conference on. :692–696.
Huston, Dryver, Xia, Tian.  2017.  Mapping, Assessing and Monitoring Urban Underground Infrastructure. 11th International Workshop on Structural Health Monitoring.
Rege, A., Singer, B., Masceri, N., Heath, Q..  2017.  Measuring Cyber Intrusion Chains, Adaptive Adversarial Behavior, and Group Dynamics. ICCWS 2017-Proceedings of the 12th International Conference on Cyber Warfare and Security.
Powell, Matthew J, Ames, Aaron D.  2016.  Mechanics-based control of underactuated 3D robotic walking: Dynamic gait generation under torque constraints. Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. :555–560.
Powell, Matthew J, Ma, Wen-Loong, Ambrose, Eric R, Ames, Aaron D.  2016.  Mechanics-based design of underactuated robotic walking gaits: Initial experimental realization. Humanoid Robots (Humanoids), 2016 IEEE-RAS 16th International Conference on. :981–986.
Beegala, Adinarayana, Hourdakis, John, Michalopoulos, Panos.  2005.  Methodology for performance optimization of ramp control strategies through microsimulation. Transportation Research Record: Journal of the Transportation Research Board. :87–98.