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Autonomous robots that operate in real-world domains face multiple challenges that make planning and goal selection difficult. Not only must planning and execution occur in real time, newly acquired knowledge can invalidate previous plans, and goals and their utilities can change during plan execution. However, these events can also provide opportunities, if the architecture is designed to react appropriately...
The idea of artificial intelligence has been around with us for some time now but do we really know what we are looking for and is research in this field headed in the right direction? First of all, it is essential that the true meaning and principles of intelligence be comprehended before we can develop a truly intelligent robot. Neural networks and their modelling are crucial to the realisation...
Autonomous robots operating in human environments will need to automatically learn to perform new tasks without requiring the implementation of task-specific actions or time-consuming deliberative planning at run-time. In this work, we contribute a demonstration-based approach for teaching a robot task-specific planners involving complex sequential tasks with repetitions. Complexity of tasks results...
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