This text presents the proceedings of a conference on intelligent autonomous systems. Papers contribute solutions to the task of designing autonomous systems that are capable of operating independently of a human in partially structured and unstructured environments. For specific application, these systems should also learn from their actions in order to improve and optimize planning and execution of new tasks. There are numerous disciplines that contribute to the design of autonomous systems, including computer sciences, physics, electronics, computer engineering and mechanical engineering. One of the most difficult tasks is system integration, where systems such sensors, vision systems, controllers and machine elements are tied together to a functional entity. The papers bound in these proceedings discuss the results of numerous research endeavours and present the state of the art to obtain autonomy.
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This text presents the proceedings of a conference on intelligent autonomous systems. Papers contribute solutions to the task of designing autonomous systems that are capable of operating independently of a human in partially structured and unstructured environments. For specific application, these systems should also learn from their actions in order to improve and optimize planning and execution of new tasks. There are numerous disciplines that contribute to the design of autonomous systems, including computer sciences, physics, electronics, computer engineering and mechanical engineering. One of the most difficult tasks is system integration, where systems such sensors, vision systems, controllers and machine elements are tied together to a functional entity. The papers bound in these proceedings discuss the results of numerous research endeavours and present the state of the art to obtain autonomy.
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