Results 21 to 30 of about 5,883,161 (235)

Automated planning for robotic layup of composite prepreg

open access: yesRobotics Comput. Integr. Manuf., 2021
Hand layup is a commonly used process for making composite structures from several plies of carbon-fiber prepreg. The process involves multiple human operators manipulating and conforming layers of prepreg to a mold.
R. Malhan   +7 more
semanticscholar   +1 more source

Personalized Automation of Treatment Planning for Linac-Based Stereotactic Body Radiotherapy of Spine Cancer

open access: yesFrontiers in Oncology, 2022
Purpose/Objective(s)Stereotactic ablative body radiotherapy (SBRT) for vertebral metastases is a challenging treatment process. Planning automation has recently reported the potential to improve plan quality and increase planning efficiency. We performed
Savino Cilla   +12 more
doaj   +1 more source

Guiding Robot Exploration in Reinforcement Learning via Automated Planning

open access: yesInternational Conference on Automated Planning and Scheduling, 2021
Reinforcement learning (RL) enables an agent to learn from trial-and-error experiences toward achieving long-term goals; automated planning aims to compute plans for accomplishing tasks using action knowledge.
Yohei Hayamizu   +4 more
semanticscholar   +1 more source

Automating checks of plan check automation [PDF]

open access: yesJournal of Applied Clinical Medical Physics, 2014
While a few physicists have designed new plan check automation solutions for their clinics, fewer, if any, managed to adapt existing solutions. As complex and varied as the systems they check, these programs must gain the full confidence of those who would run them on countless patient plans.
Halabi, Tarek, Lu, Hsiao‐Ming
openaire   +2 more sources

A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles

open access: yesInternational Conference on Intelligent Transportation Systems, 2021
One of the pivotal challenges presented to urban road traffic controllers is the effective utilisation of transport infrastructure, as a result of growing urbanisation, the finite network capacity, and of the increasing number of road vehicles.
M. Vallati, Enrico Scala, L. Chrpa
semanticscholar   +1 more source

Models of Intervention: Helping Agents and Human Users Avoid Undesirable Outcomes

open access: yesFrontiers in Artificial Intelligence, 2022
When working in an unfamiliar online environment, it can be helpful to have an observer that can intervene and guide a user toward a desirable outcome while avoiding undesirable outcomes or frustration.
Sachini Weerawardhana   +2 more
doaj   +1 more source

Comprehensive dosimetric and clinical evaluation of lexicographic optimization-based planning for cervical cancer

open access: yesFrontiers in Oncology, 2022
AimIn this study, a not yet commercially available fully-automated lexicographic optimization (LO) planning algorithm, called mCycle (Elekta AB, Stockholm, Sweden), was validated for cervical cancer.Material and methodsTwenty-four mono-institutional ...
Sara Trivellato   +19 more
doaj   +1 more source

Leveraging intelligent optimization for automated, cardiac-sparing accelerated partial breast treatment planning

open access: yesFrontiers in Oncology, 2023
BackgroundAccelerated partial breast irradiation (APBI) yields similar rates of recurrence and cosmetic outcomes as compared to whole breast radiation therapy (RT) when patients and treatment techniques are appropriately selected.
Joel A. Pogue   +7 more
doaj   +1 more source

Knowledge Reformulation and Deception as a Defense Against Automated Cyber Adversaries

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
Leveraging automated planning has been shown to be advantageous for automating network penetration testing, providing a foundation to generate intelligent approaches to attacking a target system.
Ron Alford   +3 more
doaj   +1 more source

HTN Learning via Transfer Learning of Domain Landmarks

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
Hierarchical Task Network (HTN) planning uses task-subtask relationships to break complex problems into more manageable subtasks, similar to how human problem-solvers plan.
Greg Pennisi   +6 more
doaj   +1 more source

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