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Learning Task Specific Plans through Sound and Visually Interpretable Demonstrations
| Citations: | 10 - 1 self |
BibTeX
@MISC{Veeraraghavan_learningtask,
author = {Harini Veeraraghavan and Manuela Veloso},
title = {Learning Task Specific Plans through Sound and Visually Interpretable Demonstrations},
year = {}
}
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Abstract
Abstract — Autonomous robots operating in human environments will need to automatically learn to perform new tasks without requiring the implementation of task-specific actions or time-consuming deliberative planning at run-time. In this work, we contribute a demonstration-based approach for teaching a robot task-specific planners involving complex sequential tasks with repetitions. Complexity of tasks results from step repetitions, execution failures and conditionally executing plans. Our demonstration approach uses sound and visually interpretable cues to guide and indicate the various actions and objects to a robot. The robot in turn performs the actions and generalizes its execution into a task-specific planner. We demonstrate the successful plan learning for two different tasks implemented in real-world settings. I.
Keyphrases
task specific visually interpretable demonstration task-specific planner abstract autonomous robot turn performs new task execution failure real-world setting task result interpretable cue demonstration-based approach various action step repetition demonstration approach human environment robot task-specific planner different task complex sequential task time-consuming deliberative planning successful plan task-specific action
