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Programming by demonstration - constructing task level plans in hybrid dynamic framework

J.R. Chen, B.J. McCarragher

Year
2002
Citations
10

Abstract

This paper presents a novel approach to constructing a task level plan for an assembly task from demonstration. A hybrid dynamic system is chosen as an attractive way to model assembly tasks. We propose a framework where the mappings required within the hybrid dynamic system model are extracted from a demonstration. We extract the event path planner mapping, which determines a task level plan. Demonstrated paths are broken down into their base elements, called transitions. A path plan is then constructed from transitions that were well demonstrated. We test the approach by having a robot execute an assembly task using constructed task plans. The framework produces excellent results because: 1) the robot can perform selected paths better than when it simply copies the demonstrator, and 2) it allows flexible path selection so the robot can be given a disposition in how it executes the task.

Keywords

Task (project management)Computer scienceRobotPath (computing)Plan (archaeology)Motion planningProgramming by demonstrationPlannerDistributed computingSelection (genetic algorithm)

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