Home /Research /AMPLE: an anytime planning and execution framework for dynamic and uncertain problems in robotics
OTHER

AMPLE: an anytime planning and execution framework for dynamic and uncertain problems in robotics

Caroline Ponzoni Carvalho Chanel, Alexandre Albore, Jorrit T’Hooft, Charles Lesire, Florent Teichteil-Königsbuch

Year
2018
Citations
10

Keywords

Computer scienceThread (computing)RoboticsModular designDistributed computingDeliberationArtificial intelligenceAutomated planning and schedulingExecution modelRobot

Related papers

Browse all OTHER papers