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UKAEA-RACE-PR(25)052025
This paper presents a technical overview of AutoInspect, a ROS-based software system for robust and extensible mission-level autonomy. Over the past three years we have deployed AutoInspect on multiple platforms in a variety of environments, from forests to fusion reactors, for durations ranging from hours to weeks. The AutoInspect system combin…
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UKAEA-RACE-PR(26)112024
We consider planning problems where a robot must gather reward by completing tasks at each of a large set of locations while constrained by a time bound. Our focus is problems where the difficulty of each task, and thus its duration, can be predicted, but is not fully known in advance. We model difficulty-aware problems as a Markov decision proc…
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UKAEA-RACE-CP(23)072023
We consider planning problems where a robot must visit a large set of locations to complete a task at each one. Our focus is problems where the difficulty of each task, and thus its duration, can be predicted, but not fully known in advance. We propose a general Markov decision process (MDP) model for difficulty-aware problems, and propose varia…
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