Search Results - "Wray, Kyle H"
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Improving Competence via Iterative State Space Refinement
Published in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (27-09-2021)“…Despite considerable efforts by human designers, accounting for every unique situation that an autonomous robotic system deployed in the real world could face…”
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Conference Proceeding -
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Experience Filter: Using Past Experiences on Unseen Tasks or Environments
Published in 2023 IEEE Intelligent Vehicles Symposium (IV) (04-06-2023)“…One of the bottlenecks of training autonomous vehicle (AV) agents is the variability of training environments. Since learning optimal policies for unseen…”
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Conference Proceeding -
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Competence-aware systems
Published in Artificial intelligence (01-03-2023)“…Building autonomous systems for deployment in the open world has been a longstanding objective in both artificial intelligence and robotics. The open world,…”
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Journal Article -
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Watercraft as Overwater Ambulance Exchange Points to Enhance Air Medical Evacuation
Published in Air medical journal (01-10-2024)Get full text
Journal Article -
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Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms
Published 06-10-2024“…The transfer of patients between two aircraft using an underway watercraft increases medical evacuation reach and flexibility in maritime environments. The…”
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Journal Article -
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Watercraft as Overwater Ambulance Exchange Points to Enhance Aeromedical Evacuation
Published 25-08-2024“…Ambulance exchange points are preidentified sites where patients are transferred between evacuation platforms while en route to enhanced medical care. We…”
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Journal Article -
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Rao-Blackwellized POMDP Planning
Published 24-09-2024“…Partially Observable Markov Decision Processes (POMDPs) provide a structured framework for decision-making under uncertainty, but their application requires…”
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Journal Article -
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Constrained Hierarchical Monte Carlo Belief-State Planning
Published in 2024 IEEE International Conference on Robotics and Automation (ICRA) (13-05-2024)“…Optimal plans in Constrained Partially Observable Markov Decision Processes (CPOMDPs) maximize reward objectives while satisfying hard cost constraints,…”
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Conference Proceeding -
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Constrained Hierarchical Monte Carlo Belief-State Planning
Published 30-10-2023“…Optimal plans in Constrained Partially Observable Markov Decision Processes (CPOMDPs) maximize reward objectives while satisfying hard cost constraints,…”
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Journal Article -
10
Experience Filter: Using Past Experiences on Unseen Tasks or Environments
Published 29-05-2023“…One of the bottlenecks of training autonomous vehicle (AV) agents is the variability of training environments. Since learning optimal policies for unseen…”
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Journal Article