An intelligent, evolutionary, hybrid, PDE-ODE controller for navigation in unknown environments

Discusses the construction of a hybrid control structure that would enable an agent to operate in an unknown, stationary environment. The control structure has an evolutionary nature that allows for autonomous structural adaptation of the control relying only on a sequentially acquired sensory input...

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Bibliographic Details
Published inProceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC) held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) Intell pp. 565 - 569
Main Authors Masoud, A.A., Masoud, S.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
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Summary:Discusses the construction of a hybrid control structure that would enable an agent to operate in an unknown, stationary environment. The control structure has an evolutionary nature that allows for autonomous structural adaptation of the control relying only on a sequentially acquired sensory input as a source of information. It also has the ability to integrate any available a priori information in its database regardless of its fragmentation or sparsity in the planning process to accelerate convergence. The structure is based on a bottom-up approach to behavior synthesis that allows the integration of experience along with synergy as drivers of the action selection process. Theoretical development of the structure, a realization, and simulation results are provided.
ISBN:0780344235
9780780344235
ISSN:2158-9860
2158-9879
DOI:10.1109/ISIC.1998.713733