PRF: A Program Reuse Framework for Automated Programming by Learning from Existing Robot Programs

This paper explores the problem of automated robot program generation from limited historical data when neither accurate geometric environmental models nor online vision feedback are available. The Program Reuse Framework (PRF) is developed, which uses expert-defined motion classes, a novel data str...

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Bibliographic Details
Published in:	Robotics (Basel) Vol. 13; no. 8; p. 118
Main Authors:	Toner, Tyler, Tilbury, Dawn M., Barton, Kira
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2024
Subjects:	automated programming Automation Data structures Datasets Deep learning Design End effectors Environment models Historical structures learning from demonstration (LfD) Libraries Manipulators Python Redundancy redundant manipulators Robot arms Robot dynamics Robots Sensors skill-based programming Skills task and motion planning workspace learning
ISSN:	2218-6581, 2218-6581
Online Access:	Get full text
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