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Content Provider | IEEE Xplore Digital Library |
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Author | Melchior, N.A. Simmons, R. |
Copyright Year | 2010 |
Description | Author affiliation: Robotics Institute of Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, USA (Melchior, N.A.; Simmons, R.) |
Abstract | Programming by demonstration is an attractive model for allowing both experts and non-experts to command robots' actions. In this work, we contribute an approach for learning precise reaching trajectories for robotic manipulators. We use dimensionality reduction to smooth the example trajectories and transform their representation to a space more amenable to planning. Key to this approach is the careful selection of neighboring points within and between trajectories. This algorithm is capable of creating efficient, collision-free plans even under typical real-world training conditions such as incomplete sensor coverage and lack of an environment model, without imposing additional requirements upon the user such as constraining the types of example trajectories provided. Experimental results are presented to validate this approach. |
Starting Page | 2953 |
Ending Page | 2958 |
File Size | 834389 |
Page Count | 6 |
File Format | |
ISBN | 9781424450381 |
ISSN | 10504729 |
DOI | 10.1109/ROBOT.2010.5509913 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-05-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Orbital robotics Robot sensing systems Humans Manipulators Trajectory Navigation Wire Motion planning Robotics and automation Robotic assembly |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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