Travis DeVault

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Research has shown that honeybees have a remarkable ability to use landmarks to travel miles to find -- and return to -- a food source. The long-term goal of this research is to use physical robots, incorporating a variety of image processing approaches, to examine this ability. The results may also improve our ability to develop effective landmark guidance(More)
In learning from demonstration (LfD) a human trainer demonstrates desired behaviors to a robotic agent, creating a training set that the agent can learn from. LfD allows non-programmers to easily and naturally train robotic agents to perform specific tasks. However, to date most LfD has focused on single robot, single trainer paradigms leading to(More)
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