research
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research [2014/11/03 11:00] aamir |
research [2014/11/03 12:50] (current) aamir |
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| - | To solve the scalability challenge our primary focus is on exploiting the properties of conditional and mutual independence of the involved variables. Using state of the art formulation methods, such as, pose graphs and Bayesian networks, we aim to address the problem of large-scale multi-robot cooperative localization, target tracking, mapping and motion planning. A kez focus of our formulation is to optimally capture the sparsity of the system in question. | + | To solve the scalability challenge our primary focus is on exploiting the properties of conditional and mutual independence of the involved variables. Using state of the art formulation methods, such as, pose graphs and Bayesian networks, we aim to address the problem of large-scale multi-robot cooperative localization, target tracking, mapping and motion planning. A key focus of our formulation is to optimally capture the sparsity of the system in question. |
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research.txt ยท Last modified: 2014/11/03 12:50 by aamir
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